Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In speaker-adaptive HMM-based speech synthesis, there are typically a few speakers for which the output synthetic speech sounds worse than that of other speakers, despite having the same amount of adaptation data from within the same corpus.  investigates these fluctuations in quality and concludes that as mel-cepstral distance from the average voice becomes larger, the MOS naturalness scores generally become worse. Although this negative correlation is not that strong, it suggests a way to improve the training and adaptation strategies.  also draw comparisons beten our findings and the work of other researchers regarding “vocal attractiveness.” Index Terms: speech synthesis, HMM, average voice, speaker adaptation
['Junichi Yamagishi', 'Oliver Watts', 'Simon King', 'Bela Usabaev']
I am writing a research paper on a idea Roles of the Average Voice in Speaker-adaptive HMM-based Speech Synthesis
[{"from": "human", "value": "I am writing a research paper on a idea Roles of the Average Voice in Speaker-adaptive HMM-based Speech Synthesis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In speaker-adaptive HMM-based speech synthesis, there are typically a few speakers for which the output synthetic speech sounds worse than that of other speakers, despite having the same amount of adaptation data from within the same corpus.  investigates these fluctuations in quality and concludes that as mel-cepstral distance from the average voice becomes larger, the MOS naturalness scores generally become worse. Although this negative correlation is not that strong, it suggests a way to improve the training and adaptation strategies.  also draw comparisons beten our findings and the work of other researchers regarding \u201cvocal attractiveness.\u201d Index Terms: speech synthesis, HMM, average voice, speaker adaptation"}]