MQTT service for Rhasspy that uses Mozilla's DeepSpeech 0.9.3.
- Python 3.7
- Mozilla DeepSpeech 0.9.3
- Pre-trained model
generate_scorer_package
inPATH
from native clientbuild_binary
inPATH
from KenLM
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
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
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).