This paper presents a novel statistical sample-based approach for Gaussian Mixture Model (GMM)-based Voice Conversion (VC). Although GMM-based VC has the promising flexibility of model adaptation, quality in converted speech is significantly worse than that of natural speech. This paper addresses the problem of inaccurate modeling, which is one of the main reasons causing the quality degradatio...

This paper proposes a voice conversion (VC) method based on sequence-to-sequence (S2S) learning framework, which enables simultaneous of the characteristics, pitch contour, and duration input speech. We previously proposed an S2S-based VC using transformer network architecture called (VTN). The original VTN was designed to learn only mapping speech feature sequences from one speaker another. He...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

In mobile devices, perceived speech signal degrades significantly in the presence of background noise as it reaches directly at the listener's ears. There is a need to improve the intelligibility and quality of the received speech signal in noisy environments by incorporating speech enhancement algorithms. This paper focuses on speech enhancement method including auditory masking propertie...

This paper presents an acoustic study of spontaneous and read Italian speech based on the analysis of monologues and corresponding read transcribed texts, each produced by three different subjects. The speaking styles were examined in terms of articulation, speech, fluency and word rate indices; typology of pauses and their cooccurrence; mean and range of F0 values; classification of phonetic e...

This chapter provides an overview of the various methods and techniques used for assessment of speech quality. A summary is given of some of the most commonly used listening tests designed to obtain reliable ratings of the quality of processed speech from human listeners. Considerations for conducting successful subjective listening tests are given along with cautions that need to be exercised....