Statistical methods for voice conversion are usually based on a single model selected in order to represent a tradeoff between goodness of fit and complexity. In this paper we assume that the best model may change over time, depending on the source acoustic features. We present a new method for spectral voice conversion called Dynamic Model Selection (DMS), in which a set of potential best mode...

The conversion method from Non-Audible Murmur (NAM) to ordinary speech based on the statistical voice conversion (NAM-toSpeech) has been proposed towards realization of “silent speech telephone.” Although NAM-to-Speech converts NAM to intelligible voices with similar quality to speech, there is still a large problem, i.e., difficulties of the F0 estimation from unvoiced speech. In order to avoi...

In voice conversion, sparse-representation-based methods have recently been garnering attention because they are, relatively speaking, not affected by over-fitting or over-smoothing problems. In these approaches, voice conversion is achieved by estimating a sparse vector that determines which dictionaries of the target speaker should be used, calculated from the matching of the input vector and...

Sequence-to-sequence (seq2seq) voice conversion (VC) models are attractive owing to their ability convert prosody. Nonetheless, without sufficient data, seq2seq VC can suffer from unstable training and mispronunciation problems in the converted speech, thus far practical. To tackle these shortcomings, we propose transfer knowledge other speech processing tasks where large-scale corpora easily a...

Most Voice Conversion (VC) systems exploit source-filter decomposition based on linear prediction (LP) to transform spectral envelopes, incurring as a result various issues related to the oversimplification of the LP voice source model. Whilst residual prediction methods can mitigate this problem, they cannot be used to modify voice source quality. In this paper, a system which employs linear t...

Voice conversion problem became very popular in the world. It has applications in many fields, for example in systems that make use of prerecorded speech, such as voice mailboxes or text-to-speech synthesizers based on acoustic unit concatenation. In such cases, voice modification would be a simple and efficient way to create a desired variety of voices while avoiding recording of different spe...