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- W1963854073 abstract "In this paper we revisit some basic configuration choices of HMM-based speech synthesis, such as waveform sampling rate, auditory frequency warping scale and the logarithmic scaling of F <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> , with the aim of improving speaker similarity which is an acknowledged weakness of current HMM-based speech synthesisers. All of the techniques investigated are simple but, as we demonstrate using perceptual tests, can make substantial differences to the quality of the synthetic speech. Contrary to common practice in automatic speech recognition, higher waveform sampling rates can offer enhanced feature extraction and improved speaker similarity for speech synthesis. In addition, a generalized logarithmic transform of F <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> results in larger intra-utterance variance of F <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>0</sub> trajectories and hence more dynamic and natural-sounding prosody." @default.
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- W1963854073 date "2010-01-01" @default.
- W1963854073 modified "2023-10-14" @default.
- W1963854073 title "Simple methods for improving speaker-similarity of HMM-based speech synthesis" @default.
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- W1963854073 doi "https://doi.org/10.1109/icassp.2010.5495562" @default.
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