most citedASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

eess.AS2022★ 4 cited

ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion

Edresson Casanova, Christopher Shulby, Alexander Korolev +4

We explore cross-lingual multi-speaker speech synthesis and cross-lingual voice conversion applied to data augmentation for automatic speech recognition (ASR) systems in low/medium…