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Wav2vec2 Large Xls R 300m Chinese Taiwan Colab
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Wav2vec2 Large Xls R 300m Chinese Taiwan Colab

Developed by RuiqianLi
A large-scale speech recognition model based on the wav2vec2 architecture, optimized for Chinese (Taiwan) speech, suitable for speech-to-text tasks.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Taiwanese accent speech recognition#Large parameter speech model#Mandarin and dialect compatibility
Downloads 17
Release Time : 5/17/2022

Model Overview

This model is a large-scale speech recognition model developed based on Facebook's wav2vec2 framework, specifically optimized for the speech characteristics of the Chinese (Taiwan) region. Primarily used for speech-to-text conversion tasks.

Model Features

Large-scale pre-training
Based on a 300-million-parameter large-scale model with powerful speech feature extraction capabilities
Chinese (Taiwan) optimization
Specifically optimized for the speech characteristics and accents of the Chinese (Taiwan) region
Colab compatibility
Designed to run in the Google Colab environment for easy deployment and testing

Model Capabilities

Speech recognition
Speech-to-text
Chinese (Taiwan) speech processing

Use Cases

Speech transcription
Automatic meeting transcription
Automatically convert meeting recordings in the Chinese (Taiwan) region into text transcripts
Voice assistant
Provide voice input support for Chinese (Taiwan) users
Education
Language learning aid
Help learners convert spoken exercises into text for comparative analysis
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