diff --git a/CODEOWNERS b/CODEOWNERS
index db44317776..56ec0a93cb 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -199,6 +199,7 @@ esphome/components/mcp9808/* @k7hpn
 esphome/components/md5/* @esphome/core
 esphome/components/mdns/* @esphome/core
 esphome/components/media_player/* @jesserockz
+esphome/components/micro_wake_word/* @jesserockz @kahrendt
 esphome/components/micronova/* @jorre05
 esphome/components/microphone/* @jesserockz
 esphome/components/mics_4514/* @jesserockz
diff --git a/esphome/components/micro_wake_word/__init__.py b/esphome/components/micro_wake_word/__init__.py
new file mode 100644
index 0000000000..2a84b7d74b
--- /dev/null
+++ b/esphome/components/micro_wake_word/__init__.py
@@ -0,0 +1,363 @@
+import logging
+
+import json
+import hashlib
+from urllib.parse import urljoin
+from pathlib import Path
+import requests
+
+import esphome.config_validation as cv
+import esphome.codegen as cg
+
+from esphome.core import CORE, HexInt, EsphomeError
+
+from esphome.components import esp32, microphone
+from esphome import automation, git, external_files
+from esphome.automation import register_action, register_condition
+
+
+from esphome.const import (
+    __version__,
+    CONF_ID,
+    CONF_MICROPHONE,
+    CONF_MODEL,
+    CONF_URL,
+    CONF_FILE,
+    CONF_PATH,
+    CONF_REF,
+    CONF_REFRESH,
+    CONF_TYPE,
+    CONF_USERNAME,
+    CONF_PASSWORD,
+    CONF_RAW_DATA_ID,
+    TYPE_GIT,
+    TYPE_LOCAL,
+)
+
+
+_LOGGER = logging.getLogger(__name__)
+
+CODEOWNERS = ["@kahrendt", "@jesserockz"]
+DEPENDENCIES = ["microphone"]
+DOMAIN = "micro_wake_word"
+
+CONF_PROBABILITY_CUTOFF = "probability_cutoff"
+CONF_SLIDING_WINDOW_AVERAGE_SIZE = "sliding_window_average_size"
+CONF_ON_WAKE_WORD_DETECTED = "on_wake_word_detected"
+
+TYPE_HTTP = "http"
+
+micro_wake_word_ns = cg.esphome_ns.namespace("micro_wake_word")
+
+MicroWakeWord = micro_wake_word_ns.class_("MicroWakeWord", cg.Component)
+
+StartAction = micro_wake_word_ns.class_("StartAction", automation.Action)
+StopAction = micro_wake_word_ns.class_("StopAction", automation.Action)
+
+IsRunningCondition = micro_wake_word_ns.class_(
+    "IsRunningCondition", automation.Condition
+)
+
+
+def _validate_json_filename(value):
+    value = cv.string(value)
+    if not value.endswith(".json"):
+        raise cv.Invalid("Manifest filename must end with .json")
+    return value
+
+
+def _process_git_source(config):
+    repo_dir, _ = git.clone_or_update(
+        url=config[CONF_URL],
+        ref=config.get(CONF_REF),
+        refresh=config[CONF_REFRESH],
+        domain=DOMAIN,
+        username=config.get(CONF_USERNAME),
+        password=config.get(CONF_PASSWORD),
+    )
+
+    if not (repo_dir / config[CONF_FILE]).exists():
+        raise cv.Invalid("File does not exist in repository")
+
+    return config
+
+
+CV_GIT_SCHEMA = cv.GIT_SCHEMA
+if isinstance(CV_GIT_SCHEMA, dict):
+    CV_GIT_SCHEMA = cv.Schema(CV_GIT_SCHEMA)
+
+GIT_SCHEMA = cv.All(
+    CV_GIT_SCHEMA.extend(
+        {
+            cv.Required(CONF_FILE): _validate_json_filename,
+            cv.Optional(CONF_REFRESH, default="1d"): cv.All(
+                cv.string, cv.source_refresh
+            ),
+        }
+    ),
+    _process_git_source,
+)
+
+KEY_WAKE_WORD = "wake_word"
+KEY_AUTHOR = "author"
+KEY_WEBSITE = "website"
+KEY_VERSION = "version"
+KEY_MICRO = "micro"
+
+MANIFEST_SCHEMA_V1 = cv.Schema(
+    {
+        cv.Required(CONF_TYPE): "micro",
+        cv.Required(KEY_WAKE_WORD): cv.string,
+        cv.Required(KEY_AUTHOR): cv.string,
+        cv.Required(KEY_WEBSITE): cv.url,
+        cv.Required(KEY_VERSION): cv.All(cv.int_, 1),
+        cv.Required(CONF_MODEL): cv.string,
+        cv.Required(KEY_MICRO): cv.Schema(
+            {
+                cv.Required(CONF_PROBABILITY_CUTOFF): cv.float_,
+                cv.Required(CONF_SLIDING_WINDOW_AVERAGE_SIZE): cv.positive_int,
+            }
+        ),
+    }
+)
+
+
+def _compute_local_file_path(config: dict) -> Path:
+    url = config[CONF_URL]
+    h = hashlib.new("sha256")
+    h.update(url.encode())
+    key = h.hexdigest()[:8]
+    base_dir = external_files.compute_local_file_dir(DOMAIN)
+    return base_dir / key
+
+
+def _download_file(url: str, path: Path) -> bytes:
+    if not external_files.has_remote_file_changed(url, path):
+        _LOGGER.debug("Remote file has not changed, skipping download")
+        return path.read_bytes()
+
+    try:
+        req = requests.get(
+            url,
+            timeout=external_files.NETWORK_TIMEOUT,
+            headers={"User-agent": f"ESPHome/{__version__} (https://esphome.io)"},
+        )
+        req.raise_for_status()
+    except requests.exceptions.RequestException as e:
+        raise cv.Invalid(f"Could not download file from {url}: {e}") from e
+
+    path.parent.mkdir(parents=True, exist_ok=True)
+    path.write_bytes(req.content)
+    return req.content
+
+
+def _process_http_source(config):
+    url = config[CONF_URL]
+    path = _compute_local_file_path(config)
+
+    json_path = path / "manifest.json"
+
+    json_contents = _download_file(url, json_path)
+
+    manifest_data = json.loads(json_contents)
+    if not isinstance(manifest_data, dict):
+        raise cv.Invalid("Manifest file must contain a JSON object")
+
+    try:
+        MANIFEST_SCHEMA_V1(manifest_data)
+    except cv.Invalid as e:
+        raise cv.Invalid(f"Invalid manifest file: {e}") from e
+
+    model = manifest_data[CONF_MODEL]
+    model_url = urljoin(url, model)
+
+    model_path = path / model
+
+    _download_file(str(model_url), model_path)
+
+    return config
+
+
+HTTP_SCHEMA = cv.All(
+    {
+        cv.Required(CONF_URL): cv.url,
+    },
+    _process_http_source,
+)
+
+LOCAL_SCHEMA = cv.Schema(
+    {
+        cv.Required(CONF_PATH): cv.All(_validate_json_filename, cv.file_),
+    }
+)
+
+
+def _validate_source_model_name(value):
+    if not isinstance(value, str):
+        raise cv.Invalid("Model name must be a string")
+
+    if value.endswith(".json"):
+        raise cv.Invalid("Model name must not end with .json")
+
+    return MODEL_SOURCE_SCHEMA(
+        {
+            CONF_TYPE: TYPE_HTTP,
+            CONF_URL: f"https://github.com/esphome/micro-wake-word-models/raw/main/models/{value}.json",
+        }
+    )
+
+
+def _validate_source_shorthand(value):
+    if not isinstance(value, str):
+        raise cv.Invalid("Shorthand only for strings")
+
+    try:  # Test for model name
+        return _validate_source_model_name(value)
+    except cv.Invalid:
+        pass
+
+    try:  # Test for local path
+        return MODEL_SOURCE_SCHEMA({CONF_TYPE: TYPE_LOCAL, CONF_PATH: value})
+    except cv.Invalid:
+        pass
+
+    try:  # Test for http url
+        return MODEL_SOURCE_SCHEMA({CONF_TYPE: TYPE_HTTP, CONF_URL: value})
+    except cv.Invalid:
+        pass
+
+    git_file = git.GitFile.from_shorthand(value)
+
+    conf = {
+        CONF_TYPE: TYPE_GIT,
+        CONF_URL: git_file.git_url,
+        CONF_FILE: git_file.filename,
+    }
+    if git_file.ref:
+        conf[CONF_REF] = git_file.ref
+
+    try:
+        return MODEL_SOURCE_SCHEMA(conf)
+    except cv.Invalid as e:
+        raise cv.Invalid(
+            f"Could not find file '{git_file.filename}' in the repository. Please make sure it exists."
+        ) from e
+
+
+MODEL_SOURCE_SCHEMA = cv.Any(
+    _validate_source_shorthand,
+    cv.typed_schema(
+        {
+            TYPE_GIT: GIT_SCHEMA,
+            TYPE_LOCAL: LOCAL_SCHEMA,
+            TYPE_HTTP: HTTP_SCHEMA,
+        }
+    ),
+    msg="Not a valid model name, local path, http(s) url, or github shorthand",
+)
+
+CONFIG_SCHEMA = cv.All(
+    cv.Schema(
+        {
+            cv.GenerateID(): cv.declare_id(MicroWakeWord),
+            cv.GenerateID(CONF_MICROPHONE): cv.use_id(microphone.Microphone),
+            cv.Optional(CONF_PROBABILITY_CUTOFF): cv.float_,
+            cv.Optional(CONF_SLIDING_WINDOW_AVERAGE_SIZE): cv.positive_int,
+            cv.Optional(CONF_ON_WAKE_WORD_DETECTED): automation.validate_automation(
+                single=True
+            ),
+            cv.Required(CONF_MODEL): MODEL_SOURCE_SCHEMA,
+            cv.GenerateID(CONF_RAW_DATA_ID): cv.declare_id(cg.uint8),
+        }
+    ).extend(cv.COMPONENT_SCHEMA),
+    cv.only_with_esp_idf,
+)
+
+
+def _load_model_data(manifest_path: Path):
+    with open(manifest_path, encoding="utf-8") as f:
+        manifest = json.load(f)
+
+    try:
+        MANIFEST_SCHEMA_V1(manifest)
+    except cv.Invalid as e:
+        raise EsphomeError(f"Invalid manifest file: {e}") from e
+
+    model_path = urljoin(str(manifest_path), manifest[CONF_MODEL])
+
+    with open(model_path, "rb") as f:
+        model = f.read()
+
+    return manifest, model
+
+
+async def to_code(config):
+    var = cg.new_Pvariable(config[CONF_ID])
+    await cg.register_component(var, config)
+
+    mic = await cg.get_variable(config[CONF_MICROPHONE])
+    cg.add(var.set_microphone(mic))
+
+    if on_wake_word_detection_config := config.get(CONF_ON_WAKE_WORD_DETECTED):
+        await automation.build_automation(
+            var.get_wake_word_detected_trigger(),
+            [(cg.std_string, "wake_word")],
+            on_wake_word_detection_config,
+        )
+
+    esp32.add_idf_component(
+        name="esp-tflite-micro",
+        repo="https://github.com/espressif/esp-tflite-micro",
+    )
+
+    cg.add_build_flag("-DTF_LITE_STATIC_MEMORY")
+    cg.add_build_flag("-DTF_LITE_DISABLE_X86_NEON")
+    cg.add_build_flag("-DESP_NN")
+
+    model_config = config.get(CONF_MODEL)
+    data = []
+    if model_config[CONF_TYPE] == TYPE_GIT:
+        # compute path to model file
+        key = f"{model_config[CONF_URL]}@{model_config.get(CONF_REF)}"
+        base_dir = Path(CORE.data_dir) / DOMAIN
+        h = hashlib.new("sha256")
+        h.update(key.encode())
+        file: Path = base_dir / h.hexdigest()[:8] / model_config[CONF_FILE]
+
+    elif model_config[CONF_TYPE] == TYPE_LOCAL:
+        file = model_config[CONF_PATH]
+
+    elif model_config[CONF_TYPE] == TYPE_HTTP:
+        file = _compute_local_file_path(model_config) / "manifest.json"
+
+    manifest, data = _load_model_data(file)
+
+    rhs = [HexInt(x) for x in data]
+    prog_arr = cg.progmem_array(config[CONF_RAW_DATA_ID], rhs)
+    cg.add(var.set_model_start(prog_arr))
+
+    probability_cutoff = config.get(
+        CONF_PROBABILITY_CUTOFF, manifest[KEY_MICRO][CONF_PROBABILITY_CUTOFF]
+    )
+    cg.add(var.set_probability_cutoff(probability_cutoff))
+    sliding_window_average_size = config.get(
+        CONF_SLIDING_WINDOW_AVERAGE_SIZE,
+        manifest[KEY_MICRO][CONF_SLIDING_WINDOW_AVERAGE_SIZE],
+    )
+    cg.add(var.set_sliding_window_average_size(sliding_window_average_size))
+
+    cg.add(var.set_wake_word(manifest[KEY_WAKE_WORD]))
+
+
+MICRO_WAKE_WORD_ACTION_SCHEMA = cv.Schema({cv.GenerateID(): cv.use_id(MicroWakeWord)})
+
+
+@register_action("micro_wake_word.start", StartAction, MICRO_WAKE_WORD_ACTION_SCHEMA)
+@register_action("micro_wake_word.stop", StopAction, MICRO_WAKE_WORD_ACTION_SCHEMA)
+@register_condition(
+    "micro_wake_word.is_running", IsRunningCondition, MICRO_WAKE_WORD_ACTION_SCHEMA
+)
+async def micro_wake_word_action_to_code(config, action_id, template_arg, args):
+    var = cg.new_Pvariable(action_id, template_arg)
+    await cg.register_parented(var, config[CONF_ID])
+    return var
diff --git a/esphome/components/micro_wake_word/audio_preprocessor_int8_model_data.h b/esphome/components/micro_wake_word/audio_preprocessor_int8_model_data.h
new file mode 100644
index 0000000000..918e76045f
--- /dev/null
+++ b/esphome/components/micro_wake_word/audio_preprocessor_int8_model_data.h
@@ -0,0 +1,493 @@
+#pragma once
+
+#ifdef USE_ESP_IDF
+
+// Converted audio_preprocessor_int8.tflite
+// From https://github.com/tensorflow/tflite-micro/tree/main/tensorflow/lite/micro/examples/micro_speech/models accessed
+// January 2024
+//
+// Copyright 2023 The TensorFlow Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+namespace esphome {
+namespace micro_wake_word {
+
+const unsigned char G_AUDIO_PREPROCESSOR_INT8_TFLITE[] = {
+    0x1c, 0x00, 0x00, 0x00, 0x54, 0x46, 0x4c, 0x33, 0x14, 0x00, 0x20, 0x00, 0x1c, 0x00, 0x18, 0x00, 0x14, 0x00, 0x10,
+    0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x14, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x88, 0x00,
+    0x00, 0x00, 0xe0, 0x00, 0x00, 0x00, 0x80, 0x0e, 0x00, 0x00, 0x90, 0x0e, 0x00, 0x00, 0xcc, 0x1f, 0x00, 0x00, 0x03,
+    0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xe2, 0xeb, 0xff, 0xff, 0x0c, 0x00, 0x00, 0x00,
+    0x1c, 0x00, 0x00, 0x00, 0x3c, 0x00, 0x00, 0x00, 0x0f, 0x00, 0x00, 0x00, 0x73, 0x65, 0x72, 0x76, 0x69, 0x6e, 0x67,
+    0x5f, 0x64, 0x65, 0x66, 0x61, 0x75, 0x6c, 0x74, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x94, 0xff,
+    0xff, 0xff, 0x2a, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x6f, 0x75, 0x74, 0x70, 0x75,
+    0x74, 0x5f, 0x30, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xc2, 0xf5, 0xff, 0xff,
+    0x04, 0x00, 0x00, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x61, 0x75, 0x64, 0x69, 0x6f, 0x5f, 0x66, 0x72, 0x61, 0x6d, 0x65,
+    0x00, 0x02, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xdc, 0xff, 0xff, 0xff, 0x2d, 0x00,
+    0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00, 0x00, 0x43, 0x4f, 0x4e, 0x56, 0x45, 0x52, 0x53, 0x49, 0x4f,
+    0x4e, 0x5f, 0x4d, 0x45, 0x54, 0x41, 0x44, 0x41, 0x54, 0x41, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00,
+    0x08, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x13, 0x00, 0x00, 0x00, 0x6d, 0x69, 0x6e,
+    0x5f, 0x72, 0x75, 0x6e, 0x74, 0x69, 0x6d, 0x65, 0x5f, 0x76, 0x65, 0x72, 0x73, 0x69, 0x6f, 0x6e, 0x00, 0x2e, 0x00,
+    0x00, 0x00, 0x9c, 0x0d, 0x00, 0x00, 0x94, 0x0d, 0x00, 0x00, 0xc4, 0x09, 0x00, 0x00, 0x6c, 0x09, 0x00, 0x00, 0x48,
+    0x09, 0x00, 0x00, 0x34, 0x09, 0x00, 0x00, 0x20, 0x09, 0x00, 0x00, 0x0c, 0x09, 0x00, 0x00, 0xf8, 0x08, 0x00, 0x00,
+    0xec, 0x07, 0x00, 0x00, 0x88, 0x07, 0x00, 0x00, 0x24, 0x07, 0x00, 0x00, 0xc0, 0x06, 0x00, 0x00, 0x38, 0x04, 0x00,
+    0x00, 0xb0, 0x01, 0x00, 0x00, 0x9c, 0x01, 0x00, 0x00, 0x88, 0x01, 0x00, 0x00, 0x74, 0x01, 0x00, 0x00, 0x60, 0x01,
+    0x00, 0x00, 0x4c, 0x01, 0x00, 0x00, 0x44, 0x01, 0x00, 0x00, 0x3c, 0x01, 0x00, 0x00, 0x34, 0x01, 0x00, 0x00, 0x2c,
+    0x01, 0x00, 0x00, 0x24, 0x01, 0x00, 0x00, 0x1c, 0x01, 0x00, 0x00, 0x14, 0x01, 0x00, 0x00, 0x0c, 0x01, 0x00, 0x00,
+    0x04, 0x01, 0x00, 0x00, 0xfc, 0x00, 0x00, 0x00, 0xf4, 0x00, 0x00, 0x00, 0xec, 0x00, 0x00, 0x00, 0xe4, 0x00, 0x00,
+    0x00, 0xdc, 0x00, 0x00, 0x00, 0xd4, 0x00, 0x00, 0x00, 0xcc, 0x00, 0x00, 0x00, 0xc4, 0x00, 0x00, 0x00, 0xbc, 0x00,
+    0x00, 0x00, 0xb4, 0x00, 0x00, 0x00, 0xac, 0x00, 0x00, 0x00, 0xa4, 0x00, 0x00, 0x00, 0x9c, 0x00, 0x00, 0x00, 0x94,
+    0x00, 0x00, 0x00, 0x8c, 0x00, 0x00, 0x00, 0x6c, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0xf2, 0xf6, 0xff, 0xff,
+    0x04, 0x00, 0x00, 0x00, 0x58, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04,
+    0x00, 0x08, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x08, 0x00,
+    0x07, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+    0x00, 0x0a, 0x00, 0x10, 0x00, 0x0c, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+    0x02, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x06, 0x00, 0x00, 0x00, 0x32, 0x2e, 0x31, 0x32, 0x2e, 0x30, 0x00,
+    0x00, 0x56, 0xf7, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x32, 0x2e, 0x38, 0x2e, 0x30, 0x00,
+    0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xd4, 0xe1, 0xff, 0xff, 0xd8, 0xe1, 0xff, 0xff, 0xdc,
+    0xe1, 0xff, 0xff, 0xe0, 0xe1, 0xff, 0xff, 0xe4, 0xe1, 0xff, 0xff, 0xe8, 0xe1, 0xff, 0xff, 0xec, 0xe1, 0xff, 0xff,
+    0xf0, 0xe1, 0xff, 0xff, 0xf4, 0xe1, 0xff, 0xff, 0xf8, 0xe1, 0xff, 0xff, 0xfc, 0xe1, 0xff, 0xff, 0x00, 0xe2, 0xff,
+    0xff, 0x04, 0xe2, 0xff, 0xff, 0x08, 0xe2, 0xff, 0xff, 0x0c, 0xe2, 0xff, 0xff, 0x10, 0xe2, 0xff, 0xff, 0x14, 0xe2,
+    0xff, 0xff, 0x18, 0xe2, 0xff, 0xff, 0x1c, 0xe2, 0xff, 0xff, 0x20, 0xe2, 0xff, 0xff, 0x24, 0xe2, 0xff, 0xff, 0x28,
+    0xe2, 0xff, 0xff, 0x2c, 0xe2, 0xff, 0xff, 0x30, 0xe2, 0xff, 0xff, 0xd2, 0xf7, 0xff, 0xff, 0x04, 0x00, 0x00, 0x00,
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+    0x00, 0x00, 0x40, 0x00, 0x00, 0x00, 0x38, 0x00, 0x00, 0x00, 0x24, 0x00, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00, 0x04,
+    0x00, 0x00, 0x00, 0x50, 0xfe, 0xff, 0xff, 0x37, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x37, 0x5c, 0xfe, 0xff, 0xff,
+    0x39, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x39, 0x68, 0xfe, 0xff, 0xff, 0x2a, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+    0x2a, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00, 0x7c, 0xfe, 0xff, 0xff, 0x12, 0x00, 0x00, 0x00, 0x00, 0x00,
+    0x00, 0x12, 0x70, 0xfe, 0xff, 0xff, 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x13,
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+    0x00, 0x02, 0x6c, 0xff, 0xff, 0xff, 0x2d, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x2d, 0x0c, 0x00, 0x10, 0x00, 0x0f,
+    0x00, 0x00, 0x00, 0x08, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x35, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00,
+    0x00, 0x00, 0x00, 0x35, 0x7c, 0xff, 0xff, 0xff, 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00,
+    0x20, 0x0c, 0x00, 0x00, 0x00, 0x53, 0x69, 0x67, 0x6e, 0x61, 0x6c, 0x45, 0x6e, 0x65, 0x72, 0x67, 0x79, 0x00, 0x00,
+    0x00, 0x00, 0xa0, 0xff, 0xff, 0xff, 0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x0a,
+    0x00, 0x00, 0x00, 0x53, 0x69, 0x67, 0x6e, 0x61, 0x6c, 0x52, 0x66, 0x66, 0x74, 0x00, 0x00, 0xc0, 0xff, 0xff, 0xff,
+    0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x12, 0x00, 0x00, 0x00, 0x53, 0x69, 0x67,
+    0x6e, 0x61, 0x6c, 0x46, 0x66, 0x74, 0x41, 0x75, 0x74, 0x6f, 0x53, 0x63, 0x61, 0x6c, 0x65, 0x00, 0x00, 0x0c, 0x00,
+    0x0c, 0x00, 0x0b, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x16, 0x00, 0x00, 0x00, 0x00,
+    0x00, 0x00, 0x16, 0x0c, 0x00, 0x10, 0x00, 0x0f, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x0c, 0x00, 0x00, 0x00,
+    0x20, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x0c, 0x00, 0x00, 0x00, 0x53, 0x69, 0x67,
+    0x6e, 0x61, 0x6c, 0x57, 0x69, 0x6e, 0x64, 0x6f, 0x77, 0x00, 0x00, 0x00, 0x00};
+
+}  // namespace micro_wake_word
+}  // namespace esphome
+
+#endif  // USE_ESP_IDF
diff --git a/esphome/components/micro_wake_word/micro_wake_word.cpp b/esphome/components/micro_wake_word/micro_wake_word.cpp
new file mode 100644
index 0000000000..8a443bc224
--- /dev/null
+++ b/esphome/components/micro_wake_word/micro_wake_word.cpp
@@ -0,0 +1,503 @@
+#include "micro_wake_word.h"
+
+/**
+ * This is a workaround until we can figure out a way to get
+ * the tflite-micro idf component code available in CI
+ *
+ * */
+//
+#ifndef CLANG_TIDY
+
+#ifdef USE_ESP_IDF
+
+#include "esphome/core/hal.h"
+#include "esphome/core/helpers.h"
+#include "esphome/core/log.h"
+
+#include "audio_preprocessor_int8_model_data.h"
+
+#include <tensorflow/lite/core/c/common.h>
+#include <tensorflow/lite/micro/micro_interpreter.h>
+#include <tensorflow/lite/micro/micro_mutable_op_resolver.h>
+
+#include <cmath>
+
+namespace esphome {
+namespace micro_wake_word {
+
+static const char *const TAG = "micro_wake_word";
+
+static const size_t SAMPLE_RATE_HZ = 16000;  // 16 kHz
+static const size_t BUFFER_LENGTH = 500;     // 0.5 seconds
+static const size_t BUFFER_SIZE = SAMPLE_RATE_HZ / 1000 * BUFFER_LENGTH;
+static const size_t INPUT_BUFFER_SIZE = 32 * SAMPLE_RATE_HZ / 1000;  // 32ms * 16kHz / 1000ms
+
+float MicroWakeWord::get_setup_priority() const { return setup_priority::AFTER_CONNECTION; }
+
+static const LogString *micro_wake_word_state_to_string(State state) {
+  switch (state) {
+    case State::IDLE:
+      return LOG_STR("IDLE");
+    case State::START_MICROPHONE:
+      return LOG_STR("START_MICROPHONE");
+    case State::STARTING_MICROPHONE:
+      return LOG_STR("STARTING_MICROPHONE");
+    case State::DETECTING_WAKE_WORD:
+      return LOG_STR("DETECTING_WAKE_WORD");
+    case State::STOP_MICROPHONE:
+      return LOG_STR("STOP_MICROPHONE");
+    case State::STOPPING_MICROPHONE:
+      return LOG_STR("STOPPING_MICROPHONE");
+    default:
+      return LOG_STR("UNKNOWN");
+  }
+}
+
+void MicroWakeWord::setup() {
+  ESP_LOGCONFIG(TAG, "Setting up Micro Wake Word...");
+
+  if (!this->initialize_models()) {
+    ESP_LOGE(TAG, "Failed to initialize models");
+    this->mark_failed();
+    return;
+  }
+
+  ExternalRAMAllocator<int16_t> allocator(ExternalRAMAllocator<int16_t>::ALLOW_FAILURE);
+  this->input_buffer_ = allocator.allocate(NEW_SAMPLES_TO_GET);
+  if (this->input_buffer_ == nullptr) {
+    ESP_LOGW(TAG, "Could not allocate input buffer");
+    this->mark_failed();
+    return;
+  }
+
+  this->ring_buffer_ = RingBuffer::create(BUFFER_SIZE * sizeof(int16_t));
+  if (this->ring_buffer_ == nullptr) {
+    ESP_LOGW(TAG, "Could not allocate ring buffer");
+    this->mark_failed();
+    return;
+  }
+
+  ESP_LOGCONFIG(TAG, "Micro Wake Word initialized");
+}
+
+int MicroWakeWord::read_microphone_() {
+  size_t bytes_read = this->microphone_->read(this->input_buffer_, NEW_SAMPLES_TO_GET * sizeof(int16_t));
+  if (bytes_read == 0) {
+    return 0;
+  }
+
+  size_t bytes_written = this->ring_buffer_->write((void *) this->input_buffer_, bytes_read);
+  if (bytes_written != bytes_read) {
+    ESP_LOGW(TAG, "Failed to write some data to ring buffer (written=%d, expected=%d)", bytes_written, bytes_read);
+  }
+  return bytes_written;
+}
+
+void MicroWakeWord::loop() {
+  switch (this->state_) {
+    case State::IDLE:
+      break;
+    case State::START_MICROPHONE:
+      ESP_LOGD(TAG, "Starting Microphone");
+      this->microphone_->start();
+      this->set_state_(State::STARTING_MICROPHONE);
+      this->high_freq_.start();
+      break;
+    case State::STARTING_MICROPHONE:
+      if (this->microphone_->is_running()) {
+        this->set_state_(State::DETECTING_WAKE_WORD);
+      }
+      break;
+    case State::DETECTING_WAKE_WORD:
+      this->read_microphone_();
+      if (this->detect_wake_word_()) {
+        ESP_LOGD(TAG, "Wake Word Detected");
+        this->detected_ = true;
+        this->set_state_(State::STOP_MICROPHONE);
+      }
+      break;
+    case State::STOP_MICROPHONE:
+      ESP_LOGD(TAG, "Stopping Microphone");
+      this->microphone_->stop();
+      this->set_state_(State::STOPPING_MICROPHONE);
+      this->high_freq_.stop();
+      break;
+    case State::STOPPING_MICROPHONE:
+      if (this->microphone_->is_stopped()) {
+        this->set_state_(State::IDLE);
+        if (this->detected_) {
+          this->detected_ = false;
+          this->wake_word_detected_trigger_->trigger("");
+        }
+      }
+      break;
+  }
+}
+
+void MicroWakeWord::start() {
+  if (this->is_failed()) {
+    ESP_LOGW(TAG, "Wake word component is marked as failed. Please check setup logs");
+    return;
+  }
+  if (this->state_ != State::IDLE) {
+    ESP_LOGW(TAG, "Wake word is already running");
+    return;
+  }
+  this->set_state_(State::START_MICROPHONE);
+}
+
+void MicroWakeWord::stop() {
+  if (this->state_ == State::IDLE) {
+    ESP_LOGW(TAG, "Wake word is already stopped");
+    return;
+  }
+  if (this->state_ == State::STOPPING_MICROPHONE) {
+    ESP_LOGW(TAG, "Wake word is already stopping");
+    return;
+  }
+  this->set_state_(State::STOP_MICROPHONE);
+}
+
+void MicroWakeWord::set_state_(State state) {
+  ESP_LOGD(TAG, "State changed from %s to %s", LOG_STR_ARG(micro_wake_word_state_to_string(this->state_)),
+           LOG_STR_ARG(micro_wake_word_state_to_string(state)));
+  this->state_ = state;
+}
+
+bool MicroWakeWord::initialize_models() {
+  ExternalRAMAllocator<uint8_t> arena_allocator(ExternalRAMAllocator<uint8_t>::ALLOW_FAILURE);
+  ExternalRAMAllocator<int8_t> features_allocator(ExternalRAMAllocator<int8_t>::ALLOW_FAILURE);
+  ExternalRAMAllocator<int16_t> audio_samples_allocator(ExternalRAMAllocator<int16_t>::ALLOW_FAILURE);
+
+  this->streaming_tensor_arena_ = arena_allocator.allocate(STREAMING_MODEL_ARENA_SIZE);
+  if (this->streaming_tensor_arena_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the streaming model's tensor arena.");
+    return false;
+  }
+
+  this->streaming_var_arena_ = arena_allocator.allocate(STREAMING_MODEL_VARIABLE_ARENA_SIZE);
+  if (this->streaming_var_arena_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the streaming model variable's tensor arena.");
+    return false;
+  }
+
+  this->preprocessor_tensor_arena_ = arena_allocator.allocate(PREPROCESSOR_ARENA_SIZE);
+  if (this->preprocessor_tensor_arena_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the audio preprocessor model's tensor arena.");
+    return false;
+  }
+
+  this->new_features_data_ = features_allocator.allocate(PREPROCESSOR_FEATURE_SIZE);
+  if (this->new_features_data_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the audio features buffer.");
+    return false;
+  }
+
+  this->preprocessor_audio_buffer_ = audio_samples_allocator.allocate(SAMPLE_DURATION_COUNT);
+  if (this->preprocessor_audio_buffer_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the audio preprocessor's buffer.");
+    return false;
+  }
+
+  this->preprocessor_stride_buffer_ = audio_samples_allocator.allocate(HISTORY_SAMPLES_TO_KEEP);
+  if (this->preprocessor_stride_buffer_ == nullptr) {
+    ESP_LOGE(TAG, "Could not allocate the audio preprocessor's stride buffer.");
+    return false;
+  }
+
+  this->preprocessor_model_ = tflite::GetModel(G_AUDIO_PREPROCESSOR_INT8_TFLITE);
+  if (this->preprocessor_model_->version() != TFLITE_SCHEMA_VERSION) {
+    ESP_LOGE(TAG, "Wake word's audio preprocessor model's schema is not supported");
+    return false;
+  }
+
+  this->streaming_model_ = tflite::GetModel(this->model_start_);
+  if (this->streaming_model_->version() != TFLITE_SCHEMA_VERSION) {
+    ESP_LOGE(TAG, "Wake word's streaming model's schema is not supported");
+    return false;
+  }
+
+  static tflite::MicroMutableOpResolver<18> preprocessor_op_resolver;
+  static tflite::MicroMutableOpResolver<14> streaming_op_resolver;
+
+  if (!this->register_preprocessor_ops_(preprocessor_op_resolver))
+    return false;
+  if (!this->register_streaming_ops_(streaming_op_resolver))
+    return false;
+
+  tflite::MicroAllocator *ma =
+      tflite::MicroAllocator::Create(this->streaming_var_arena_, STREAMING_MODEL_VARIABLE_ARENA_SIZE);
+  this->mrv_ = tflite::MicroResourceVariables::Create(ma, 15);
+
+  static tflite::MicroInterpreter static_preprocessor_interpreter(
+      this->preprocessor_model_, preprocessor_op_resolver, this->preprocessor_tensor_arena_, PREPROCESSOR_ARENA_SIZE);
+
+  static tflite::MicroInterpreter static_streaming_interpreter(this->streaming_model_, streaming_op_resolver,
+                                                               this->streaming_tensor_arena_,
+                                                               STREAMING_MODEL_ARENA_SIZE, this->mrv_);
+
+  this->preprocessor_interperter_ = &static_preprocessor_interpreter;
+  this->streaming_interpreter_ = &static_streaming_interpreter;
+
+  // Allocate tensors for each models.
+  if (this->preprocessor_interperter_->AllocateTensors() != kTfLiteOk) {
+    ESP_LOGE(TAG, "Failed to allocate tensors for the audio preprocessor");
+    return false;
+  }
+  if (this->streaming_interpreter_->AllocateTensors() != kTfLiteOk) {
+    ESP_LOGE(TAG, "Failed to allocate tensors for the streaming model");
+    return false;
+  }
+
+  // Verify input tensor matches expected values
+  TfLiteTensor *input = this->streaming_interpreter_->input(0);
+  if ((input->dims->size != 3) || (input->dims->data[0] != 1) || (input->dims->data[0] != 1) ||
+      (input->dims->data[1] != 1) || (input->dims->data[2] != PREPROCESSOR_FEATURE_SIZE)) {
+    ESP_LOGE(TAG, "Wake word detection model tensor input dimensions is not 1x1x%u", input->dims->data[2]);
+    return false;
+  }
+
+  if (input->type != kTfLiteInt8) {
+    ESP_LOGE(TAG, "Wake word detection model tensor input is not int8.");
+    return false;
+  }
+
+  // Verify output tensor matches expected values
+  TfLiteTensor *output = this->streaming_interpreter_->output(0);
+  if ((output->dims->size != 2) || (output->dims->data[0] != 1) || (output->dims->data[1] != 1)) {
+    ESP_LOGE(TAG, "Wake word detection model tensor output dimensions is not 1x1.");
+  }
+
+  if (output->type != kTfLiteUInt8) {
+    ESP_LOGE(TAG, "Wake word detection model tensor input is not uint8.");
+    return false;
+  }
+
+  this->recent_streaming_probabilities_.resize(this->sliding_window_average_size_, 0.0);
+
+  return true;
+}
+
+bool MicroWakeWord::update_features_() {
+  // Verify we have enough samples for a feature slice
+  if (!this->slice_available_()) {
+    return false;
+  }
+
+  // Retrieve strided audio samples
+  int16_t *audio_samples = nullptr;
+  if (!this->stride_audio_samples_(&audio_samples)) {
+    return false;
+  }
+
+  // Compute the features for the newest audio samples
+  if (!this->generate_single_feature_(audio_samples, SAMPLE_DURATION_COUNT, this->new_features_data_)) {
+    return false;
+  }
+
+  return true;
+}
+
+float MicroWakeWord::perform_streaming_inference_() {
+  TfLiteTensor *input = this->streaming_interpreter_->input(0);
+
+  size_t bytes_to_copy = input->bytes;
+
+  memcpy((void *) (tflite::GetTensorData<int8_t>(input)), (const void *) (this->new_features_data_), bytes_to_copy);
+
+  uint32_t prior_invoke = millis();
+
+  TfLiteStatus invoke_status = this->streaming_interpreter_->Invoke();
+  if (invoke_status != kTfLiteOk) {
+    ESP_LOGW(TAG, "Streaming Interpreter Invoke failed");
+    return false;
+  }
+
+  ESP_LOGV(TAG, "Streaming Inference Latency=%u ms", (millis() - prior_invoke));
+
+  TfLiteTensor *output = this->streaming_interpreter_->output(0);
+
+  return static_cast<float>(output->data.uint8[0]) / 255.0;
+}
+
+bool MicroWakeWord::detect_wake_word_() {
+  // Preprocess the newest audio samples into features
+  if (!this->update_features_()) {
+    return false;
+  }
+
+  // Perform inference
+  uint32_t streaming_size = micros();
+  float streaming_prob = this->perform_streaming_inference_();
+
+  // Add the most recent probability to the sliding window
+  this->recent_streaming_probabilities_[this->last_n_index_] = streaming_prob;
+  ++this->last_n_index_;
+  if (this->last_n_index_ == this->sliding_window_average_size_)
+    this->last_n_index_ = 0;
+
+  float sum = 0.0;
+  for (auto &prob : this->recent_streaming_probabilities_) {
+    sum += prob;
+  }
+
+  float sliding_window_average = sum / static_cast<float>(this->sliding_window_average_size_);
+
+  // Ensure we have enough samples since the last positive detection
+  this->ignore_windows_ = std::min(this->ignore_windows_ + 1, 0);
+  if (this->ignore_windows_ < 0) {
+    return false;
+  }
+
+  // Detect the wake word if the sliding window average is above the cutoff
+  if (sliding_window_average > this->probability_cutoff_) {
+    this->ignore_windows_ = -MIN_SLICES_BEFORE_DETECTION;
+    for (auto &prob : this->recent_streaming_probabilities_) {
+      prob = 0;
+    }
+    return true;
+  }
+
+  return false;
+}
+
+void MicroWakeWord::set_sliding_window_average_size(size_t size) {
+  this->sliding_window_average_size_ = size;
+  this->recent_streaming_probabilities_.resize(this->sliding_window_average_size_, 0.0);
+}
+
+bool MicroWakeWord::slice_available_() {
+  size_t available = this->ring_buffer_->available();
+
+  return available > (NEW_SAMPLES_TO_GET * sizeof(int16_t));
+}
+
+bool MicroWakeWord::stride_audio_samples_(int16_t **audio_samples) {
+  // Copy 320 bytes (160 samples over 10 ms) into preprocessor_audio_buffer_ from history in
+  // preprocessor_stride_buffer_
+  memcpy((void *) (this->preprocessor_audio_buffer_), (void *) (this->preprocessor_stride_buffer_),
+         HISTORY_SAMPLES_TO_KEEP * sizeof(int16_t));
+
+  if (this->ring_buffer_->available() < NEW_SAMPLES_TO_GET * sizeof(int16_t)) {
+    ESP_LOGD(TAG, "Audio Buffer not full enough");
+    return false;
+  }
+
+  // Copy 640 bytes (320 samples over 20 ms) from the ring buffer
+  // The first 320 bytes (160 samples over 10 ms) will be from history
+  size_t bytes_read = this->ring_buffer_->read((void *) (this->preprocessor_audio_buffer_ + HISTORY_SAMPLES_TO_KEEP),
+                                               NEW_SAMPLES_TO_GET * sizeof(int16_t), pdMS_TO_TICKS(200));
+
+  if (bytes_read == 0) {
+    ESP_LOGE(TAG, "Could not read data from Ring Buffer");
+  } else if (bytes_read < NEW_SAMPLES_TO_GET * sizeof(int16_t)) {
+    ESP_LOGD(TAG, "Partial Read of Data by Model");
+    ESP_LOGD(TAG, "Could only read %d bytes when required %d bytes ", bytes_read,
+             (int) (NEW_SAMPLES_TO_GET * sizeof(int16_t)));
+    return false;
+  }
+
+  // Copy the last 320 bytes (160 samples over 10 ms) from the audio buffer into history stride buffer for the next
+  // iteration
+  memcpy((void *) (this->preprocessor_stride_buffer_), (void *) (this->preprocessor_audio_buffer_ + NEW_SAMPLES_TO_GET),
+         HISTORY_SAMPLES_TO_KEEP * sizeof(int16_t));
+
+  *audio_samples = this->preprocessor_audio_buffer_;
+  return true;
+}
+
+bool MicroWakeWord::generate_single_feature_(const int16_t *audio_data, const int audio_data_size,
+                                             int8_t feature_output[PREPROCESSOR_FEATURE_SIZE]) {
+  TfLiteTensor *input = this->preprocessor_interperter_->input(0);
+  TfLiteTensor *output = this->preprocessor_interperter_->output(0);
+  std::copy_n(audio_data, audio_data_size, tflite::GetTensorData<int16_t>(input));
+
+  if (this->preprocessor_interperter_->Invoke() != kTfLiteOk) {
+    ESP_LOGE(TAG, "Failed to preprocess audio for local wake word.");
+    return false;
+  }
+  std::memcpy(feature_output, tflite::GetTensorData<int8_t>(output), PREPROCESSOR_FEATURE_SIZE * sizeof(int8_t));
+
+  return true;
+}
+
+bool MicroWakeWord::register_preprocessor_ops_(tflite::MicroMutableOpResolver<18> &op_resolver) {
+  if (op_resolver.AddReshape() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddCast() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddStridedSlice() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddConcatenation() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddMul() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddAdd() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddDiv() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddMinimum() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddMaximum() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddWindow() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFftAutoScale() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddRfft() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddEnergy() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFilterBank() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFilterBankSquareRoot() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFilterBankSpectralSubtraction() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddPCAN() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFilterBankLog() != kTfLiteOk)
+    return false;
+
+  return true;
+}
+
+bool MicroWakeWord::register_streaming_ops_(tflite::MicroMutableOpResolver<14> &op_resolver) {
+  if (op_resolver.AddCallOnce() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddVarHandle() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddReshape() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddReadVariable() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddStridedSlice() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddConcatenation() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddAssignVariable() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddConv2D() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddMul() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddAdd() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddMean() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddFullyConnected() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddLogistic() != kTfLiteOk)
+    return false;
+  if (op_resolver.AddQuantize() != kTfLiteOk)
+    return false;
+
+  return true;
+}
+
+}  // namespace micro_wake_word
+}  // namespace esphome
+
+#endif  // USE_ESP_IDF
+
+#endif  // CLANG_TIDY
diff --git a/esphome/components/micro_wake_word/micro_wake_word.h b/esphome/components/micro_wake_word/micro_wake_word.h
new file mode 100644
index 0000000000..82f28b2ebb
--- /dev/null
+++ b/esphome/components/micro_wake_word/micro_wake_word.h
@@ -0,0 +1,204 @@
+#pragma once
+
+/**
+ * This is a workaround until we can figure out a way to get
+ * the tflite-micro idf component code available in CI
+ *
+ * */
+//
+#ifndef CLANG_TIDY
+
+#ifdef USE_ESP_IDF
+
+#include "esphome/core/automation.h"
+#include "esphome/core/component.h"
+#include "esphome/core/ring_buffer.h"
+
+#include "esphome/components/microphone/microphone.h"
+
+#include <tensorflow/lite/core/c/common.h>
+#include <tensorflow/lite/micro/micro_interpreter.h>
+#include <tensorflow/lite/micro/micro_mutable_op_resolver.h>
+
+namespace esphome {
+namespace micro_wake_word {
+
+// The following are dictated by the preprocessor model
+//
+// The number of features the audio preprocessor generates per slice
+static const uint8_t PREPROCESSOR_FEATURE_SIZE = 40;
+// How frequently the preprocessor generates a new set of features
+static const uint8_t FEATURE_STRIDE_MS = 20;
+// Duration of each slice used as input into the preprocessor
+static const uint8_t FEATURE_DURATION_MS = 30;
+// Audio sample frequency in hertz
+static const uint16_t AUDIO_SAMPLE_FREQUENCY = 16000;
+// The number of old audio samples that are saved to be part of the next feature window
+static const uint16_t HISTORY_SAMPLES_TO_KEEP =
+    ((FEATURE_DURATION_MS - FEATURE_STRIDE_MS) * (AUDIO_SAMPLE_FREQUENCY / 1000));
+// The number of new audio samples to receive to be included with the next feature window
+static const uint16_t NEW_SAMPLES_TO_GET = (FEATURE_STRIDE_MS * (AUDIO_SAMPLE_FREQUENCY / 1000));
+// The total number of audio samples included in the feature window
+static const uint16_t SAMPLE_DURATION_COUNT = FEATURE_DURATION_MS * AUDIO_SAMPLE_FREQUENCY / 1000;
+// Number of bytes in memory needed for the preprocessor arena
+static const uint32_t PREPROCESSOR_ARENA_SIZE = 9528;
+
+// The following configure the streaming wake word model
+//
+// The number of audio slices to process before accepting a positive detection
+static const uint8_t MIN_SLICES_BEFORE_DETECTION = 74;
+
+// Number of bytes in memory needed for the streaming wake word model
+static const uint32_t STREAMING_MODEL_ARENA_SIZE = 64000;
+static const uint32_t STREAMING_MODEL_VARIABLE_ARENA_SIZE = 1024;
+
+enum State {
+  IDLE,
+  START_MICROPHONE,
+  STARTING_MICROPHONE,
+  DETECTING_WAKE_WORD,
+  STOP_MICROPHONE,
+  STOPPING_MICROPHONE,
+};
+
+class MicroWakeWord : public Component {
+ public:
+  void setup() override;
+  void loop() override;
+  float get_setup_priority() const override;
+
+  void start();
+  void stop();
+
+  bool is_running() const { return this->state_ != State::IDLE; }
+
+  bool initialize_models();
+
+  // Increasing either of these will reduce the rate of false acceptances while increasing the false rejection rate
+  void set_probability_cutoff(float probability_cutoff) { this->probability_cutoff_ = probability_cutoff; }
+  void set_sliding_window_average_size(size_t size);
+
+  void set_microphone(microphone::Microphone *microphone) { this->microphone_ = microphone; }
+
+  Trigger<std::string> *get_wake_word_detected_trigger() const { return this->wake_word_detected_trigger_; }
+
+  void set_model_start(const uint8_t *model_start) { this->model_start_ = model_start; }
+  void set_wake_word(const std::string &wake_word) { this->wake_word_ = wake_word; }
+
+ protected:
+  void set_state_(State state);
+  int read_microphone_();
+
+  const uint8_t *model_start_;
+  std::string wake_word_;
+
+  microphone::Microphone *microphone_{nullptr};
+  Trigger<std::string> *wake_word_detected_trigger_ = new Trigger<std::string>();
+  State state_{State::IDLE};
+  HighFrequencyLoopRequester high_freq_;
+
+  std::unique_ptr<RingBuffer> ring_buffer_;
+
+  int16_t *input_buffer_;
+
+  const tflite::Model *preprocessor_model_{nullptr};
+  const tflite::Model *streaming_model_{nullptr};
+  tflite::MicroInterpreter *streaming_interpreter_{nullptr};
+  tflite::MicroInterpreter *preprocessor_interperter_{nullptr};
+
+  std::vector<float> recent_streaming_probabilities_;
+  size_t last_n_index_{0};
+
+  float probability_cutoff_{0.5};
+  size_t sliding_window_average_size_{10};
+
+  // When the wake word detection first starts or after the word has been detected once, we ignore this many audio
+  // feature slices before accepting a positive detection again
+  int16_t ignore_windows_{-MIN_SLICES_BEFORE_DETECTION};
+
+  uint8_t *streaming_var_arena_{nullptr};
+  uint8_t *streaming_tensor_arena_{nullptr};
+  uint8_t *preprocessor_tensor_arena_{nullptr};
+  int8_t *new_features_data_{nullptr};
+
+  tflite::MicroResourceVariables *mrv_{nullptr};
+
+  // Stores audio fed into feature generator preprocessor
+  int16_t *preprocessor_audio_buffer_;
+  int16_t *preprocessor_stride_buffer_;
+
+  bool detected_{false};
+
+  /** Detects if wake word has been said
+   *
+   * If enough audio samples are available, it will generate one slice of new features.
+   * If the streaming model predicts the wake word, then the nonstreaming model confirms it.
+   * @param ring_Buffer Ring buffer containing raw audio samples
+   * @return True if the wake word is detected, false otherwise
+   */
+  bool detect_wake_word_();
+
+  /// @brief Returns true if there are enough audio samples in the buffer to generate another slice of features
+  bool slice_available_();
+
+  /** Shifts previous feature slices over by one and generates a new slice of features
+   *
+   * @param ring_buffer ring buffer containing raw audio samples
+   * @return True if a new slice of features was generated, false otherwise
+   */
+  bool update_features_();
+
+  /** Generates features from audio samples
+   *
+   * Adapted from TFLite micro speech example
+   * @param audio_data Pointer to array with the audio samples
+   * @param audio_data_size The number of samples to use as input to the preprocessor model
+   * @param feature_output Array that will store the features
+   * @return True if successful, false otherwise.
+   */
+  bool generate_single_feature_(const int16_t *audio_data, int audio_data_size,
+                                int8_t feature_output[PREPROCESSOR_FEATURE_SIZE]);
+
+  /** Performs inference over the most recent feature slice with the streaming model
+   *
+   * @return Probability of the wake word between 0.0 and 1.0
+   */
+  float perform_streaming_inference_();
+
+  /** Strides the audio samples by keeping the last 10 ms of the previous slice
+   *
+   * Adapted from the TFLite micro speech example
+   * @param ring_buffer Ring buffer containing raw audio samples
+   * @param audio_samples Pointer to an array that will store the strided audio samples
+   * @return True if successful, false otherwise
+   */
+  bool stride_audio_samples_(int16_t **audio_samples);
+
+  /// @brief Returns true if successfully registered the preprocessor's TensorFlow operations
+  bool register_preprocessor_ops_(tflite::MicroMutableOpResolver<18> &op_resolver);
+
+  /// @brief Returns true if successfully registered the streaming model's TensorFlow operations
+  bool register_streaming_ops_(tflite::MicroMutableOpResolver<14> &op_resolver);
+};
+
+template<typename... Ts> class StartAction : public Action<Ts...>, public Parented<MicroWakeWord> {
+ public:
+  void play(Ts... x) override { this->parent_->start(); }
+};
+
+template<typename... Ts> class StopAction : public Action<Ts...>, public Parented<MicroWakeWord> {
+ public:
+  void play(Ts... x) override { this->parent_->stop(); }
+};
+
+template<typename... Ts> class IsRunningCondition : public Condition<Ts...>, public Parented<MicroWakeWord> {
+ public:
+  bool check(Ts... x) override { return this->parent_->is_running(); }
+};
+
+}  // namespace micro_wake_word
+}  // namespace esphome
+
+#endif  // USE_ESP_IDF
+
+#endif  // CLANG_TIDY
diff --git a/tests/components/micro_wake_word/test.esp32-s3-idf.yaml b/tests/components/micro_wake_word/test.esp32-s3-idf.yaml
new file mode 100644
index 0000000000..c0f3593cc6
--- /dev/null
+++ b/tests/components/micro_wake_word/test.esp32-s3-idf.yaml
@@ -0,0 +1,15 @@
+i2s_audio:
+  i2s_lrclk_pin: GPIO18
+  i2s_bclk_pin: GPIO19
+
+microphone:
+  - platform: i2s_audio
+    id: echo_microphone
+    i2s_din_pin: GPIO17
+    adc_type: external
+    pdm: true
+
+micro_wake_word:
+  model: hey_jarvis
+  on_wake_word_detected:
+    - logger.log: "Wake word detected"