# zzw922cn/Automatic_Speech_Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Repository: https://github.com/zzw922cn/Automatic_Speech_Recognition
Canonical: https://ross.abutalabs.com/products/automatic_speech_recognition
Language: Python
License: MIT
License Family: permissive
Topics: automatic-speech-recognition, tensorflow, timit-dataset, feature-vector, phonemes, data-preprocessing, rnn, audio, deep-learning, lstm, end-to-end, cnn, rnn-encoder-decoder, evaluation, paper, speech-recognition, layer-normalization, chinese-speech-recognition
Last push: 2023-03-24T22:38:30+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3580, "days_push": 1258, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2831, forks 535 (observed 2026-08-28T04:07:24.351308+00:00)

## What it is
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
- artifact type: library
- maturity: abandoned
- function: speech-recognition, machine-learning, deep-learning, audio-processing, nlp
- domain: speech-processing, machine-learning, deep-learning
- platform: python
- tags: speech-recognition, tensorflow, asr, deepspeech2, rnn, lstm, mandarin, english, librispeech, timit, natural-language-processing, audio, linux, macos

## Member repositories
- zzw922cn/Automatic_Speech_Recognition (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.351308+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:38:09.634673+00:00, confidence not recorded.
  - readme: https://github.com/zzw922cn/Automatic_Speech_Recognition (fetched 2026-08-28T04:07:24.351308+00:00, sha 7f787bd0ad59)
- Data as of 2026-08-30T08:39:29.467469+00:00.