diff --git a/docs/source/backends.rst b/docs/source/backends.rst
index 225abffed..2a43daeec 100644
--- a/docs/source/backends.rst
+++ b/docs/source/backends.rst
@@ -10,7 +10,6 @@ Backends
platypush/backend/midi.rst
platypush/backend/nodered.rst
platypush/backend/redis.rst
- platypush/backend/stt.deepspeech.rst
platypush/backend/stt.picovoice.hotword.rst
platypush/backend/stt.picovoice.speech.rst
platypush/backend/tcp.rst
diff --git a/docs/source/platypush/backend/stt.deepspeech.rst b/docs/source/platypush/backend/stt.deepspeech.rst
deleted file mode 100644
index ef82d2be7..000000000
--- a/docs/source/platypush/backend/stt.deepspeech.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-``stt.deepspeech``
-====================================
-
-.. automodule:: platypush.backend.stt.deepspeech
- :members:
diff --git a/docs/source/platypush/plugins/stt.deepspeech.rst b/docs/source/platypush/plugins/stt.deepspeech.rst
deleted file mode 100644
index 210dbcc5f..000000000
--- a/docs/source/platypush/plugins/stt.deepspeech.rst
+++ /dev/null
@@ -1,5 +0,0 @@
-``stt.deepspeech``
-====================================
-
-.. automodule:: platypush.plugins.stt.deepspeech
- :members:
diff --git a/docs/source/plugins.rst b/docs/source/plugins.rst
index f016efcc6..5e583f5e5 100644
--- a/docs/source/plugins.rst
+++ b/docs/source/plugins.rst
@@ -119,7 +119,6 @@ Plugins
platypush/plugins/smartthings.rst
platypush/plugins/sound.rst
platypush/plugins/ssh.rst
- platypush/plugins/stt.deepspeech.rst
platypush/plugins/stt.picovoice.hotword.rst
platypush/plugins/stt.picovoice.speech.rst
platypush/plugins/sun.rst
diff --git a/platypush/backend/stt/deepspeech/__init__.py b/platypush/backend/stt/deepspeech/__init__.py
deleted file mode 100644
index de1eed210..000000000
--- a/platypush/backend/stt/deepspeech/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from platypush.backend.stt import SttBackend
-
-
-class SttDeepspeechBackend(SttBackend):
- """
- Backend for the Mozilla Deepspeech speech-to-text engine plugin. Set this plugin to ``enabled`` if you
- want to run the speech-to-text engine continuously instead of programmatically using
- ``start_detection`` and ``stop_detection``.
-
- Requires:
-
- - The :class:`platypush.plugins.stt.deepspeech.SttDeepspeechPlugin` plugin configured and its dependencies
- installed, as well as the language model files.
-
- """
-
- def __init__(self, *args, **kwargs):
- super().__init__('stt.deepspeech', *args, **kwargs)
-
-
-# vim:sw=4:ts=4:et:
diff --git a/platypush/backend/stt/deepspeech/manifest.yaml b/platypush/backend/stt/deepspeech/manifest.yaml
deleted file mode 100644
index 2ac470b6a..000000000
--- a/platypush/backend/stt/deepspeech/manifest.yaml
+++ /dev/null
@@ -1,6 +0,0 @@
-manifest:
- events: {}
- install:
- pip: []
- package: platypush.backend.stt.deepspeech
- type: backend
diff --git a/platypush/plugins/stt/deepspeech/__init__.py b/platypush/plugins/stt/deepspeech/__init__.py
deleted file mode 100644
index ca64b02ca..000000000
--- a/platypush/plugins/stt/deepspeech/__init__.py
+++ /dev/null
@@ -1,153 +0,0 @@
-import os
-from typing import Optional, Union
-
-import numpy as np
-import wave
-
-from platypush.message.response.stt import SpeechDetectedResponse
-from platypush.plugins import action
-from platypush.plugins.stt import SttPlugin
-
-
-class SttDeepspeechPlugin(SttPlugin):
- """
- This plugin performs speech-to-text and speech detection using the
- `Mozilla DeepSpeech <https://github.com/mozilla/DeepSpeech>`_ engine.
- """
-
- def __init__(
- self,
- model_file: str,
- lm_file: str,
- trie_file: str,
- lm_alpha: float = 0.75,
- lm_beta: float = 1.85,
- beam_width: int = 500,
- *args,
- **kwargs
- ):
- """
- In order to run the speech-to-text engine you'll need to download the right model files for the
- Deepspeech engine that you have installed:
-
- .. code-block:: shell
-
- # Create the working folder for the models
- export MODELS_DIR=~/models
- mkdir -p $MODELS_DIR
- cd $MODELS_DIR
-
- # Download and extract the model files for your version of Deepspeech. This may take a while.
- export DEEPSPEECH_VERSION=0.6.1
- wget \
- 'https://github.com/mozilla/DeepSpeech/releases/download/v$DEEPSPEECH_VERSION/deepspeech-$DEEPSPEECH_VERSION-models.tar.gz'
- tar -xvzf deepspeech-$DEEPSPEECH_VERSION-models.tar.gz
- x deepspeech-0.6.1-models/
- x deepspeech-0.6.1-models/lm.binary
- x deepspeech-0.6.1-models/output_graph.pbmm
- x deepspeech-0.6.1-models/output_graph.pb
- x deepspeech-0.6.1-models/trie
- x deepspeech-0.6.1-models/output_graph.tflite
-
- :param model_file: Path to the model file (usually named ``output_graph.pb`` or ``output_graph.pbmm``).
- Note that ``.pbmm`` usually perform better and are smaller.
-
- :param lm_file: Path to the language model binary file (usually named ``lm.binary``).
- :param trie_file: The path to the trie file build from the same vocabulary as the language model binary
- (usually named ``trie``).
- :param lm_alpha: The alpha hyperparameter of the CTC decoder - Language Model weight.
- See <https://github.com/mozilla/DeepSpeech/releases/tag/v0.6.0>.
- :param lm_beta: The beta hyperparameter of the CTC decoder - Word Insertion weight.
- See <https://github.com/mozilla/DeepSpeech/releases/tag/v0.6.0>.
- :param beam_width: Decoder beam width (see beam scoring in KenLM language model).
- :param input_device: PortAudio device index or name that will be used for recording speech (default: default
- system audio input device).
- :param hotword: When this word is detected, the plugin will trigger a
- :class:`platypush.message.event.stt.HotwordDetectedEvent` instead of a
- :class:`platypush.message.event.stt.SpeechDetectedEvent` event. You can use these events for hooking other
- assistants.
- :param hotwords: Use a list of hotwords instead of a single one.
- :param conversation_timeout: If ``hotword`` or ``hotwords`` are set and ``conversation_timeout`` is set,
- the next speech detected event will trigger a :class:`platypush.message.event.stt.ConversationDetectedEvent`
- instead of a :class:`platypush.message.event.stt.SpeechDetectedEvent` event. You can hook custom hooks
- here to run any logic depending on the detected speech - it can emulate a kind of
- "OK, Google. Turn on the lights" interaction without using an external assistant.
- :param block_duration: Duration of the acquired audio blocks (default: 1 second).
- """
-
- import deepspeech
-
- super().__init__(*args, **kwargs)
- self.model_file = os.path.abspath(os.path.expanduser(model_file))
- self.lm_file = os.path.abspath(os.path.expanduser(lm_file))
- self.trie_file = os.path.abspath(os.path.expanduser(trie_file))
- self.lm_alpha = lm_alpha
- self.lm_beta = lm_beta
- self.beam_width = beam_width
- self._model: Optional[deepspeech.Model] = None
- self._context = None
-
- def _get_model(self):
- import deepspeech
-
- if not self._model:
- self._model = deepspeech.Model(self.model_file, self.beam_width)
- self._model.enableDecoderWithLM(
- self.lm_file, self.trie_file, self.lm_alpha, self.lm_beta
- )
-
- return self._model
-
- def _get_context(self):
- if not self._model:
- self._model = self._get_model()
- if not self._context:
- self._context = self._model.createStream()
-
- return self._context
-
- @staticmethod
- def convert_frames(frames: Union[np.ndarray, bytes]) -> np.ndarray:
- return np.frombuffer(frames, dtype=np.int16)
-
- def on_detection_started(self):
- self._context = self._get_context()
-
- def on_detection_ended(self):
- if self._model and self._context:
- self._model.finishStream()
- self._context = None
-
- def detect_speech(self, frames) -> str:
- model = self._get_model()
- context = self._get_context()
- model.feedAudioContent(context, frames)
- return model.intermediateDecode(context)
-
- def on_speech_detected(self, speech: str) -> None:
- super().on_speech_detected(speech)
- if not speech:
- return
-
- model = self._get_model()
- context = self._get_context()
- model.finishStream(context)
- self._context = None
-
- @action
- def detect(self, audio_file: str) -> SpeechDetectedResponse:
- """
- Perform speech-to-text analysis on an audio file.
-
- :param audio_file: Path to the audio file.
- """
- audio_file = os.path.abspath(os.path.expanduser(audio_file))
- wav = wave.open(audio_file, 'r')
- buffer = wav.readframes(wav.getnframes())
- data = self.convert_frames(buffer)
- model = self._get_model()
- speech = model.stt(data)
- return SpeechDetectedResponse(speech=speech)
-
-
-# vim:sw=4:ts=4:et:
diff --git a/platypush/plugins/stt/deepspeech/manifest.yaml b/platypush/plugins/stt/deepspeech/manifest.yaml
deleted file mode 100644
index 3fd7dbd74..000000000
--- a/platypush/plugins/stt/deepspeech/manifest.yaml
+++ /dev/null
@@ -1,18 +0,0 @@
-manifest:
- events: {}
- install:
- apk:
- - py3-numpy
- pacman:
- - python-numpy
- - python-sounddevice
- apt:
- - python3-numpy
- dnf:
- - python-numpy
- pip:
- - deepspeech
- - numpy
- - sounddevice
- package: platypush.plugins.stt.deepspeech
- type: plugin