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A Comparative Study of Self-Supervised Speech Representations in Read and Spontaneous TTS
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0002-1643-1054
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0002-0397-6442
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Tal, musik och hörsel, TMH.ORCID-id: 0000-0003-1175-840X
2023 (engelsk)Inngår i: ICASSPW 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2023Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Recent work has explored using self-supervised learning (SSL) speech representations such as wav2vec2.0 as the representation medium in standard two-stage TTS, in place of conventionally used mel-spectrograms. It is however unclear which speech SSL is the better fit for TTS, and whether or not the performance differs between read and spontaneous TTS, the later of which is arguably more challenging. This study aims at addressing these questions by testing several speech SSLs, including different layers of the same SSL, in two-stage TTS on both read and spontaneous corpora, while maintaining constant TTS model architecture and training settings. Results from listening tests show that the 9th layer of 12-layer wav2vec2.0 (ASR finetuned) outperforms other tested SSLs and mel-spectrogram, in both read and spontaneous TTS. Our work sheds light on both how speech SSL can readily improve current TTS systems, and how SSLs compare in the challenging generative task of TTS. Audio examples can be found at https://www.speech.kth.se/tts-demos/ssr_tts

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE) , 2023.
Emneord [en]
self-supervised speech representation, speech synthesis, spontaneous speech
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-335090DOI: 10.1109/ICASSPW59220.2023.10193157ISI: 001046933700056Scopus ID: 2-s2.0-85165623363OAI: oai:DiVA.org:kth-335090DiVA, id: diva2:1793234
Konferanse
2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023, Rhodes Island, Greece, Jun 4 2023 - Jun 10 2023
Merknad

Part of ISBN 9798350302615

QC 20230831

Tilgjengelig fra: 2023-08-31 Laget: 2023-08-31 Sist oppdatert: 2023-09-26bibliografisk kontrollert

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Wang, SiyangHenter, Gustav EjeGustafsson, JoakimSzékely, Éva

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Totalt: 123 treff
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