Web: http://arxiv.org/abs/2209.06987

Sept. 16, 2022, 1:11 a.m. | Gary Wang, Andrew Rosenberg, Bhuvana Ramabhadran, Fadi Biadsy, Yinghui Huang, Jesse Emond, Pedro Moreno Mengibar

cs.LG updates on arXiv.org arxiv.org

Automatic speech recognition (ASR) needs to be robust to speaker differences.
Voice Conversion (VC) modifies speaker characteristics of input speech. This is
an attractive feature for ASR data augmentation. In this paper, we demonstrate
that voice conversion can be used as a data augmentation technique to improve
ASR performance, even on LibriSpeech, which contains 2,456 speakers. For ASR
augmentation, it is necessary that the VC model be robust to a wide range of
input speech. This motivates the use of …

arxiv asr augmentation conversion voice

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