las-pytorch and LAS-Pytorch

las-pytorch
26
Experimental
LAS-Pytorch
26
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 10/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 14/25
Stars: 42
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 7
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: —
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

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

About LAS-Pytorch

KrishnaDN/LAS-Pytorch

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

Related comparisons

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