wav2letter.pytorch and Wav2Letter

These two tools are competitors, as both are independent PyTorch implementations of the Wav2Letter speech recognition model, each likely derived from the same FAIR research paper.

wav2letter.pytorch
45
Emerging
Wav2Letter
36
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 19/25
Stars: 126
Forks: 23
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 87
Forks: 22
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About wav2letter.pytorch

silversparro/wav2letter.pytorch

A fully convolution-network for speech-to-text, built on pytorch.

This project helps convert spoken words in audio files into written text. You provide WAV audio files and it outputs the corresponding transcription. It's designed for machine learning engineers or researchers who need to train and fine-tune speech-to-text models for various applications.

speech-recognition audio-processing natural-language-processing machine-learning-training

About Wav2Letter

LearnedVector/Wav2Letter

Speech Recognition model based off of FAIR research paper built using Pytorch.

This helps researchers and machine learning engineers working on speech recognition projects to convert spoken audio into text. It takes audio recordings (like speech commands) and outputs the predicted text transcriptions. This tool is ideal for those developing and experimenting with speech-to-text models.

speech-to-text audio-processing voice-recognition natural-language-processing machine-learning-research

Scores updated daily from GitHub, PyPI, and npm data. How scores work