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Wav2vec2 2 Rnd
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Wav2vec2 2 Rnd

Developed by sanchit-gandhi
An automatic speech recognition model trained on the LibriSpeech ASR dataset, designed to convert English speech into text.
Speech Recognition
Transformers
#High-precision speech-to-text#Low word error rate#English speech recognition
Downloads 16
Release Time : 3/6/2022

Model Overview

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

Model Features

High accuracy
Achieved a word error rate of 0.1442 on the LibriSpeech evaluation set.
Optimized training process
Trained using the Adam optimizer and linear learning rate scheduler to ensure stable model convergence.
Mixed-precision training
Utilizes native AMP for mixed-precision training, improving training efficiency.

Model Capabilities

English speech recognition
Speech-to-text

Use Cases

Speech transcription
Meeting minutes
Automatically convert meeting recordings into text transcripts.
Highly accurate transcription results, reducing manual proofreading time.
Subtitle generation
Automatically generate English subtitles for video content.
Quick subtitle generation, improving video production efficiency.
Voice assistants
Voice command recognition
Used for voice assistants to recognize user voice commands.
Highly accurate command recognition, enhancing user experience.
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