zzw922cn/Automatic_Speech_Recognition

Health v2 · maintenance only

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Adoption not part of the score

2831 stars · 535 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An end-to-end automatic speech recognition system implemented in TensorFlow, supporting Mandarin and English with models like DeepSpeech2, CNN, and RNN architectures. It includes data preprocessing pipelines for corpora such as TIMIT, LibriSpeech, and WSJ.

Use cases

• transcribe speech to text in python
• train a speech recognition model on librispeech
• mandarin chinese speech recognition
• implement deepspeech2 in tensorflow
• preprocess timit or wsj audio corpora
• character-level speech recognition with rnn

When to choose

• you need a reference implementation of end-to-end ASR in TensorFlow 1.x
• you want to experiment with DeepSpeech2, capsule networks, or layer-normalized RNNs
• you need preprocessing scripts for TIMIT, LibriSpeech, or WSJ corpora

When to avoid

• you need modern TensorFlow 2.x or PyTorch support
• you want a production-ready or actively maintained ASR system
• you need pretrained models with easy inference APIs

Facets

library · maturity abandoned

speech-recognition machine-learning deep-learning audio-processing nlp speech-processing machine-learning deep-learning python speech-recognition tensorflow asr deepspeech2 rnn lstm mandarin english librispeech timit natural-language-processing audio linux macos

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markdown · JSON · MCP: product_card(name="zzw922cn/Automatic_Speech_Recognition")