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Wav2vec2 2 Bart Base
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Wav2vec2 2 Bart Base
Developed by patrickvonplaten
A speech recognition model fine-tuned on the LibriSpeech ASR clean dataset, based on wav2vec2-base and bart-base
Downloads 493
Release Time : 3/2/2022
Model Overview
This model combines the speech feature extraction capability of wav2vec2 with the sequence-to-sequence transformation ability of BART, focusing on English speech recognition tasks
Model Features
Hybrid Architecture
Combines speech feature extraction from wav2vec2 with sequence transformation capability from BART
Efficient Fine-tuning
Optimized on the LibriSpeech ASR clean dataset
Multi-GPU Training
Supports distributed training to improve efficiency
Model Capabilities
English speech recognition
Audio-to-text conversion
Sequence-to-sequence transformation
Use Cases
Speech Transcription
Meeting Minutes
Convert meeting recordings into text transcripts
Podcast Transcription
Convert podcast audio content into text
Assistive Technology
Real-time Caption Generation
Generate real-time captions for videos or live streams
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