arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.09381eess.AScs.CLcs.LGcs.SD
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使用Wav2vec2和Whisper的说话人和语言变化检测

Speaker and Language Change Detection using Wav2vec2 and Whisper

Radboud University Nijmegen(奈梅亨拉德堡德大学)

Tijn Berns, Nik Vaessen, David A. van Leeuwen

摘要:

我们调查了最近的Transformer网络预训练的自动语音识别的能力,以检测说话人和语言的变化。我们通过简单地将说话者(变化)或语言目标添加到标签来实现这一点。对于Wav2vec2预训练的网络,我们还研究了说话人改变符号的表示是否可以被调节以捕获说话人身份特征。使用一些构建的数据集,我们表明,这些能力是肯定存在的,与说话人识别的顺序为10%的错误率和几个百分点的语言检测错误率相等。我们将发布代码以供复制。

英文摘要:

We investigate recent transformer networks pre-trained for automatic speech recognition for their ability to detect speaker and language changes in speech. We do this by simply adding speaker (change) or language targets to the labels. For Wav2vec2 pre-trained networks, we also investigate if the representation for the speaker change symbol can be conditioned to capture speaker identity characteristics. Using a number of constructed data sets we show that these capabilities are definitely there, with speaker recognition equal error rates of the order of 10% and language detection error rates of a few percent. We will publish the code for reproducibility.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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