Listen-Attend-Spell-v2 and LAS-Pytorch

Listen-Attend-Spell-v2
40
Emerging
LAS-Pytorch
26
Experimental
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 14/25
Stars: 39
Forks: 8
Downloads: —
Commits (30d): 0
Language: Shell
License: MIT
Stars: 7
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Listen-Attend-Spell-v2

foamliu/Listen-Attend-Spell-v2

PyTorch implementation of Listen Attend and Spell Automatic Speech Recognition (ASR).

This project offers a foundational system for converting spoken Chinese Mandarin into written text. You provide audio recordings in Mandarin, and it produces a transcript of what was said. Researchers and developers working on speech recognition systems for Mandarin would find this useful for building or experimenting with new models.

speech-to-text Mandarin-speech-recognition audio-processing natural-language-processing AI-research

About LAS-Pytorch

KrishnaDN/LAS-Pytorch

Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch

Related comparisons

Listen-Attend-Spell-v2 and Listen-Attend-Spell Listen-Attend-Spell-v2 and las-pytorch Listen-Attend-Spell-v2 and LAS_Mandarin_PyTorch Listen-Attend-Spell-v2 and Listen-Attend-Spell Listen-Attend-Spell-v2 and las-pytorch

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