buriburisuri/speech-to-text-wavenet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4002 stars · 787 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of end-to-end English speech recognition based on DeepMind's WaveNet architecture, trained with CTC loss on sentence-level labels. It transcribes raw audio wav files to text using dilated convolution layers.

Use cases

• transcribe english speech audio to text
• reproduce wavenet speech recognition in tensorflow
• experiment with end-to-end asr models
• convert wav recordings into sentences
• study ctc-based speech recognition implementation

When to choose

• you want a reference implementation of WaveNet-based speech recognition
• you need to study or extend a research-grade end-to-end ASR model
• you work with the exact legacy TensorFlow 1.x stack it requires

When to avoid

• you need a production speech-to-text system with modern accuracy
• you use TensorFlow 2.x or PyTorch
• you need multilingual or actively maintained ASR support

Facets

library · maturity abandoned

speech-recognition deep-learning machine-learning audio-processing speech-processing deep-learning python wavenet asr speech-to-text tensorflow ctc-loss research-code natural-language-processing linux gpu

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markdown · JSON · MCP: product_card(name="buriburisuri/speech-to-text-wavenet")