Rhasspy ASR DeepSpeech Hermes
MQTT service for Rhasspy that uses Mozilla's DeepSpeech 0.9.3.
Requirements
- Python 3.7
- Mozilla DeepSpeech 0.9.3
- Pre-trained model
generate_scorer_packageinPATHfrom native clientbuild_binaryinPATHfrom KenLM
Installing
Clone the repository and create a virtual environment:
$ git clone https://github.com/rhasspy/rhasspy-asr-deepspeech-hermes.git
$ cd rhasspy-asr-deepspeech-hermes
$ ./configure
$ make
$ make install
Running
Run script:
bin/rhasspy-asr-deepspeech-hermes \
--model /path/to/output_graph.pbmm \
--language-model /path/to/lm.binary \
--trie /path/to/trie \
--host <MQTT_HOST> \
--port <MQTT_PORT> \
--debug
Using
Set Rhasspy ASR system to "Hermes MQTT". Connect Rhasspy and DeepSpeech service to the same MQTT broker (use port 12183 for Rhasspy's internal broker).
Metadata
Release files for rhasspy-asr-deepspeech-hermes 0.5.0
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Release files / rhasspy-asr-deepspeech-hermes-0.5.0.tar.gz
| Download URL | rhasspy-asr-deepspeech-hermes-0.5.0.tar.gz |
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| Size | 8.5 kB |
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