Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
Training data selection for voice conversion using speaker selection and vector field smoothing. Abstract: We have previously proposed a spectral mapping ...
TRAINING DATA SELECTION FOR VOICE CONVERSION. USING SPEAKER SELECTION AND VECTOR FIELD SMOOTHING. Makoto HASHIMOTO and Norio HIGUCHI. ATR Interpreting ...
TRAINING DATA SELECTION FOR VOICE CONVERSION. USING SPEAKER SELECTION AND VECTOR FIELD SMOOTHING. Makoto HASHIMOTO and Norio HIGUCHI. ATR Interpreting Teleco ...
This paper proposes a spectral mapping method for voice conversion using speaker selection and vector field smoothing. With this method, the spectral distance ...
This paper describes a voice characteristics conversion technique for an HMM-based text-to-speech synthesis system. The system.
This paper focuses on the importance of source speaker selection for a weighted codebook mapping based voice conversion algorithm. First, the dependency on ...
Missing: field | Show results with:field
9. Training Data Selection for Voice Conversion Using Speaker Selection and Vector Field Smoothing Makoto Hashimoto, Norio. Higuchi. 10. A New Voice ...
Voice conversion is a special type of VT whose goal is to modify a speech signal uttered by a source speaker to sound as if it was uttered by a target speaker, ...
Jan 16, 2017 · Training data selection for voice conversion using speaker selection and vector field smoothing. In: Proceedings of the ICSLP . Helander, E ...
This paper focuses on the importance of source speaker selection for a weighted codebook mapping based voice conversion algorithm. First, the dependency on ...
Missing: vector field smoothing.