A statistical parametric approach to singing voice synthesis based on hidden Markov models (HMMs) has been growing in popularity over the last few years.
ABSTRACT. A statistical parametric approach to singing voice synthesis based on hidden Markov models (HMMs) has been growing.
ABSTRACT. A statistical parametric approach to singing voice synthesis based on hidden Markov models (HMMs) has been growing.
A statistical parametric approach to singing voice synthesis based on hidden Markov models (HMMs) has been growing in popularity over the last few years.
Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis. Conference Paper. May 2014. Kanako Shirota · Kazuhiro Nakamura · Kei ...
ABSTRACT. A statistical parametric approach to singing voice synthesis based on hidden Markov Models (HMMs) has been growing.
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Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis · Computer Science. 2014 IEEE International Conference on Acoustics…
Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis. K Shirota, K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda.
Nov 8, 2023 · Speaker adaptive HMM-based synthesis requires as little as 5–7 minutes of recorded speech from a target speaker to generate a personalized ...
Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis. K Shirota, K Nakamura, K Hashimoto, K Oura, Y Nankaku, K Tokuda.