Adaptive filtering for high quality HMM based speech synthesis
In this work an adaptive filtering scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for Hidden Markov Model (HMM) based speech synthesis quality enhancement. The objective is to improve signal smoothness across HMMs and their related states and to reduce artifacts due to acoustic m...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.22/7639 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/7639 |