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Wav2vec2 Base 960h Finetuned Common Voice
該模型是基於facebook/wav2vec2-base-960h在Common Voice數據集上微調的語音識別模型
Downloads 16
Release Time : 4/25/2022
Model Overview
wav2vec2-base-960h-finetuned_common_voice是一個自動語音識別(ASR)模型，基於wav2vec2架構，在960小時的LibriSpeech數據集上預訓練，並在Common Voice數據集上進行了微調。
Model Features
基於wav2vec2架構
採用先進的wav2vec2自監督學習架構，能夠有效學習語音表示
Common Voice微調
在Common Voice數據集上進行微調，增強了模型的泛化能力
高效訓練
使用混合精度訓練和梯度累積等技術，提高了訓練效率
Model Capabilities
語音識別
音頻轉文本
英語語音處理
Use Cases
語音轉錄
會議記錄
將會議錄音自動轉換為文字記錄
字幕生成
為視頻內容自動生成英文字幕
語音助手
語音指令識別
識別和理解用戶的語音指令
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