I put together a tutorial and overview on how to use DeepSpeech to do Speech Recognition in Python

• ds_examples

  1 8 0.0 Python

  DeepSpeech examples

You can find the source code here.

• spaCy

  106 28,704 9.2 Python

  💫 Industrial-strength Natural Language Processing (NLP) in Python

  

It definitely could - with the real-time speech recognition example shown in the tutorial. But you'd likely need some sort of NLU running after the transcription is performed - to basically parse what was spoken into a command that you can use to run some business logic. There are some good open source libs for this too like https://spacy.io/

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• STT

  11 2,131 0.6 C++

  🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

  

If anyone is looking for a maintained version of DeepSpeech, checkout Coqui's repositories for STT and TTS. Coqui is lead by the engineers that used to work on DeepSpeech at Mozilla.

• TTS

  231 29,174 9.5 Python

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  

If anyone is looking for a maintained version of DeepSpeech, checkout Coqui's repositories for STT and TTS. Coqui is lead by the engineers that used to work on DeepSpeech at Mozilla.

Suggest a related project