# buriburisuri/speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

Repository: https://github.com/buriburisuri/speech-to-text-wavenet
Canonical: https://ross.abutalabs.com/products/speech-to-text-wavenet
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2021-10-08T10:12:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3579, "days_push": 1790, "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 4002, forks 787 (observed 2026-08-28T04:08:32.094737+00:00)

## What it is
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
- artifact type: library
- maturity: abandoned
- function: speech-recognition, deep-learning, machine-learning, audio-processing
- domain: speech-processing, deep-learning
- platform: python
- tags: wavenet, asr, speech-to-text, tensorflow, ctc-loss, research-code, natural-language-processing, linux, gpu

## Member repositories
- buriburisuri/speech-to-text-wavenet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.094737+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 2026-08-29T18:24:06.931554+00:00, confidence not recorded.
  - readme: https://github.com/buriburisuri/speech-to-text-wavenet (fetched 2026-08-28T04:08:32.094737+00:00, sha 8d83f7178024)
- Data as of 2026-08-30T08:39:29.467469+00:00.