LAS_Mandarin_PyTorch and las-pytorch

LAS_Mandarin_PyTorch
42
Emerging
las-pytorch
26
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 16/25
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 10/25
Stars: 123
Forks: 17
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 42
Forks: 4
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

jiwidi/las-pytorch

Listen, Attend and spell model for E2E ASR. Implementation in Pytorch

This project offers a foundational implementation for converting spoken language into written text using deep learning. It takes raw audio files as input and outputs a sequence of predicted letters, aiming to transcribe speech accurately. Researchers and engineers working on speech-to-text systems or exploring deep learning architectures for audio processing would find this useful for experimentation and model development.

Speech Recognition Natural Language Processing Deep Learning Audio Processing Machine Learning Research

Related comparisons

LAS_Mandarin_PyTorch and Listen-Attend-Spell LAS_Mandarin_PyTorch and LAS-Pytorch LAS_Mandarin_PyTorch and Listen-Attend-Spell-v2 LAS_Mandarin_PyTorch and Listen-Attend-Spell LAS_Mandarin_PyTorch and LAS-Pytorch

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