LAS_Mandarin_PyTorch and LAS-Pytorch
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
16/25
Maintenance
0/25
Adoption
4/25
Maturity
8/25
Community
14/25
Stars: 123
Forks: 17
Downloads: —
Commits (30d): 0
Language: Python
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 LAS_Mandarin_PyTorch
jackaduma/LAS_Mandarin_PyTorch
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
This project provides an established 'Listen, Attend and Spell' model specifically for converting spoken Chinese Mandarin into written text. It takes audio recordings in Mandarin and outputs the corresponding transcribed text. This is designed for researchers or practitioners working on Chinese language processing and speech-to-text applications.
Chinese-Mandarin
speech-to-text
audio-transcription
natural-language-processing
linguistics-research
About LAS-Pytorch
KrishnaDN/LAS-Pytorch
Implementation of the paper "Listen, Attend and Spell" Paper in Pytorch
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work