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Wav2vec2 Common Voice Accents 3
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Wav2vec2 Common Voice Accents 3

Developed by willcai
A speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers
Open Source License:Apache-2.0#Multi-accent speech recognition#Fine-tuned XLS-R architecture#Low-loss speech model
Downloads 16
Release Time : 3/16/2022

Model Overview

This is a model optimized for multi-accent speech recognition, fine-tuned on the wav2vec2-xls-r-300m architecture, suitable for general speech recognition tasks

Model Features

Multi-accent support
Fine-tuned on the Common Voice dataset, capable of recognizing speech with various accents
Efficient training
Uses mixed-precision training and distributed training techniques to improve training efficiency
Low validation loss
After 30 training epochs, the validation loss dropped to 0.0042, demonstrating excellent performance

Model Capabilities

Speech recognition
Multi-accent speech processing
Audio feature extraction

Use Cases

Speech-to-text
Meeting transcription
Automatically convert meeting recordings into text transcripts
Highly accurate text transcription
Voice assistant
Serves as the foundational recognition engine for voice assistants
Supports user input with various accents
Speech analysis
Accent recognition
Identify and analyze different accent features in speech
Can be used for linguistic research or market analysis
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