Text-to-Speech Synthesis Using Found Data for Low-Resource Languages

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A Survey on Neural Speech Synthesis (2021, methodology): “Techniques Data Work Self-supervised Training Unpaired text or speech [51, 368, 433, 78, 140, 346, 197, 352, 71] Cross-lingual Transfer Paired text and speech [42, 390, 12, 60, 271, 105] Cross-speaker Transfer Paired text and speech [216, 125, 59, 39] Speech chain/Back transformation Unpaired text o”
Speech Recognition with Augmented Synthesized Speech (2019, background): “This is limiting, as speech synthesis on “found” data is a challenging problem [6].”
Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems (2020, methodology): “Potential issues with constructing TTS corpora can be alleviated thanks to the recent advances in utilizing the found data (Cooper, 2019; Baljekar, 2018), adaptation of the existing corpora to TTS needs (Zen et al., 2019) and development of novel techniques exploiting multilingual sharing, such as…”