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.
123 stars. No commits in the last 6 months.
Use this if you need a robust, end-to-end model for transcribing spoken Chinese Mandarin audio into text, particularly for research or custom application development.
Not ideal if you need an out-of-the-box, user-friendly application for everyday transcription, as this requires technical setup and programming knowledge.
Stars
123
Forks
17
Language
Python
License
MIT
Category
Last pushed
Apr 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/jackaduma/LAS_Mandarin_PyTorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
khanld/chunkformer
ChunkFormer: Masked Chunking Conformer For Long-Form Speech Transcription
sooftware/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech...
upskyy/Squeezeformer
PyTorch implementation of "Squeezeformer: An Efficient Transformer for Automatic Speech...
WindQAQ/listen-attend-and-spell
Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project...
kaituoxu/Listen-Attend-Spell
A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.