Listen-Attend-Spell and las-pytorch

Listen-Attend-Spell
40
Emerging
las-pytorch
26
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 10/25
Stars: 207
Forks: 56
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 42
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: —
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Listen-Attend-Spell

kaituoxu/Listen-Attend-Spell

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

This project helps machine learning engineers or researchers build custom automatic speech recognition (ASR) systems. It takes raw acoustic features from audio and converts them directly into sequences of characters. The output is a trained model capable of transcribing spoken language.

automatic-speech-recognition machine-learning-engineering natural-language-processing deep-learning-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

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

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