Lobato et al., 2023 - Google Patents
Performance comparison of tts models for brazilian portuguese to establish a baselineLobato et al., 2023
View PDF- Document ID
- 6057667296408244785
- Author
- Lobato W
- Farias F
- Cruz W
- Amadeus M
- Publication year
- Publication venue
- ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
External Links
Snippet
This paper compares the performance of three text-to-speech (TTS) models released from June 2021 to January 2022 in order to establish a baseline for Brazilian Portuguese. Those models were trained using dataset for Brazilian Portuguese. The experimental setup …
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- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
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- G10L15/144—Training of HMMs
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