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.
No commits in the last 6 months.
Use this if you are a researcher or developer who needs to process Chinese Mandarin audio into text and want a ready-to-use, open-source model and pipeline to start with.
Not ideal if you are a general user looking for a pre-built application to transcribe your audio files without any development or technical setup.
Stars
39
Forks
8
Language
Shell
License
MIT
Category
Last pushed
Jul 25, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/foamliu/Listen-Attend-Spell-v2"
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...
jackaduma/LAS_Mandarin_PyTorch
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)