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Wav2vec2 2 Bert Large No Adapter
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Wav2vec2 2 Bert Large No Adapter

Developed by speech-seq2seq
An automatic speech recognition (ASR) model trained on the LibriSpeech dataset for converting English speech to text
Speech Recognition
Transformers
#High-precision speech transcription#English speech recognition#Low word error rate
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is an automatic speech recognition system specifically designed for English speech, capable of converting speech signals into corresponding text content.

Model Features

High accuracy
Achieved a word error rate of 1.7858 on the LibriSpeech evaluation set
End-to-end training
The model is trained end-to-end from raw speech data to text output
Optimized training
Fine-tuned using the Adam optimizer and linear learning rate scheduler

Model Capabilities

English speech recognition
Continuous speech-to-text conversion
Large-scale speech data processing

Use Cases

Speech transcription
Audiobook transcription
Automatically transcribe audiobook content into text format
Accuracy can reach over 98.2%
Meeting minutes
Convert meeting recordings into text transcripts in real-time or post-event
Assistive technology
Hearing assistance
Provide real-time captioning services for the hearing impaired
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