Show HN: State-of-the-Art German Speech Recognition in 284 lines of C++

• tevr-asr-tool

  9 406 5.9 C

  State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

  

And for the true "Show HN" experience:

wget "https://github.com/DeutscheKI/tevr-asr-tool/releases/downloa..."

wget "https://github.com/DeutscheKI/tevr-asr-tool/releases/downloa..."

wget "https://github.com/DeutscheKI/tevr-asr-tool/releases/downloa..."

wget "https://github.com/DeutscheKI/tevr-asr-tool/releases/downloa..."

wget "https://github.com/DeutscheKI/tevr-asr-tool/releases/downloa..."

cat tevr_asr_tool-1.0.0-Linux-x86_64.zip.00* > tevr_asr_tool-1.0.0-Linux-x86_64.zip

unzip tevr_asr_tool-1.0.0-Linux-x86_64.zip

sudo dpkg -i tevr_asr_tool-1.0.0-Linux-x86_64.deb

tevr_asr_tool --target_file=test_audio.wav

• DeepSpeech

  68 24,380 0.0 C++

  DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

  

I wrote "284 lines of C++" to indicate that this is compact enough for people to actually read and understand the source code. Also, compiling my implementation is super easy and straightforward ... something which can't be said for Kaldi, Vosk, or DeepSpeech.

If you try to read the CTC beam search decoder from Mozilla's DeepSpeech [1], that alone is about 2000 LOC in multiple files.

If you try to read the pyctcdecode source that is used by HuggingFace [2], that's 1000+ LOC of Python.

But this implementation is all the client-side, i.e. the entire "native_client" folder hierarchy in DeepSpeech [3], narrowed down to a mere 284 lines.

[1] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...

[2] https://github.com/kensho-technologies/pyctcdecode

[3] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...

• InfluxDB

  www.influxdata.com featured

  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.

  

• pyctcdecode

  2 406 2.1 Python

  A fast and lightweight python-based CTC beam search decoder for speech recognition.

  

I wrote "284 lines of C++" to indicate that this is compact enough for people to actually read and understand the source code. Also, compiling my implementation is super easy and straightforward ... something which can't be said for Kaldi, Vosk, or DeepSpeech.

If you try to read the CTC beam search decoder from Mozilla's DeepSpeech [1], that alone is about 2000 LOC in multiple files.

If you try to read the pyctcdecode source that is used by HuggingFace [2], that's 1000+ LOC of Python.

But this implementation is all the client-side, i.e. the entire "native_client" folder hierarchy in DeepSpeech [3], narrowed down to a mere 284 lines.

[1] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...

[2] https://github.com/kensho-technologies/pyctcdecode

[3] https://github.com/mozilla/DeepSpeech/tree/master/native_cli...

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