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Wav2vec2 Base Timit Demo Colab52
该模型是基于facebook/wav2vec2-base在TIMIT数据集上微调的语音识别模型，主要用于英语语音转文字任务。
Downloads 16
Release Time : 5/1/2022
Model Overview
这是一个基于wav2vec2架构的自动语音识别(ASR)模型，经过TIMIT数据集的微调，能够将英语语音转换为文本。
Model Features
基于wav2vec2架构
采用Facebook开发的wav2vec2基础架构，具有良好的语音特征提取能力
TIMIT数据集微调
在标准的TIMIT语音数据集上进行微调，提高了英语语音识别准确率
相对轻量级
基于wav2vec2-base版本，相比大型模型更易于部署和使用
Model Capabilities
英语语音识别
语音转文字
Use Cases
语音转录
英语语音转录
将英语语音内容转换为文本形式
词错误率(WER)为0.7501
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