tensorflow-speech-recognition

Why we included this project

This is an old TensorFlow codebase that shows how sequence-to-sequence neural networks were built for speech recognition, and for that reason it works best as a teaching reference rather than something to run in production. The scripts walk you through the practical steps: pulling speech data from openslr, converting utterances to spectrograms, and training recognizers with LSTM layers, all in a compact form that is easy to read. The maintainer is upfront that the project is no longer current and points users toward Whisper and DeepSpeech, so the value here is historical and educational. If you are curious how early deep-learning speech recognizers handled audio, or you want a minimal working example before moving to modern tooling, this is a handy starting point.