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A closed-form representation of anti-aliased L-F model is derived for a LPF function family based on cosine series. The Matlab based implementation of the derived form provides virtually aliasing-free source signal, which is applicable to speech synthesis and F0 extractor evaluation. This aliasing-free representation is also suitable for testing perceptual effects of wave shape parameters in the L-F...
This paper proposes a novel parameter generation algorithm for high-quality speech generation in Hidden Markov Model (HMM)-based speech synthesis. One of the biggest issues causing significant quality degradation is the over-smoothing effect often observed in generated parameter trajectories. Global Variance (GV) is known as a feature well correlated with the over-smoothing effect and a metric on...
This paper addresses an over-smoothing effect in Gaussian Mixture Model (GMM)-based Voice Conversion (VC). The flexible use of the statistical approach is one of the major reason why this approach is widely applied to the speech-based systems. However, quality degradation by over-smoothed speech parameter converted is unavoidable problem of statistical modeling. One of common approaches to this over-smoothness...
This paper proposes a modified post-filter to recover a Modulation Spectrum (MS) in HMM-based speech synthesis. To alleviate the over-smoothing effect which is one of the major problems in HMM-based speech synthesis, the MS-based post-filter has been proposed. It recovers the utterance-level MS of the generated speech trajectory, and we have reported its benefit to the quality improvement. However,...
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