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Wav2vec2 Base Timit Demo Colab
W
Wav2vec2 Base Timit Demo Colab
Developed by murdockthedude
基于facebook/wav2vec2-base微调的语音识别模型，在TIMIT数据集上训练，词错误率(WER)为0.3518
Downloads 20
Release Time : 5/10/2022
Model Overview
这是一个用于英语语音识别的模型，基于wav2vec2架构微调，适用于将英语语音转换为文本的任务。
Model Features
高效微调
基于wav2vec2-base模型在TIMIT数据集上微调，保留了原模型的强大特征提取能力
较低词错误率
在评估集上达到0.3518的词错误率(WER)，表现良好
训练优化
采用线性学习率调度和预热策略，训练过程稳定
Model Capabilities
英语语音识别
语音转文本
Use Cases
语音转录
会议记录
将英语会议录音自动转换为文字记录
准确率约65%（基于WER 0.3518推断）
语音笔记
将英语语音笔记转换为可搜索的文本
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