in a voice conversion system speech signal of a speaker (i.e. source speaker) is modified so that it sounds as if it had been pronounced by b speaker (i.e. target speaker). this process, sometimes, is called speaker conversion (changing speaker identity). achieved signal from speaker conversion system is desired to have high quality and very natural. to satisfy this, three major methods are pro...

This article aims to examine methods of optimizing GMM-based voice conversion systems performance in which GMM method is introduced as the basic method for improvement of voice conversion systems performance. In the current methods, due to using a single conversion function to convert all speech units and subsequent spectral smoothing arising from statistical averaging, we will observe quality ...

Voice conversion (VC) is an area of speech processing that deals with the conversion of the perceived speaker identity. In other words, the speech signal uttered by a first speaker, the source speaker, is modified to sound as if it was spoken by a second speaker, referred to as the target speaker. The most obvious use case for voice conversion is text-to-speech (TTS) synthesis where VC techniqu...

The voice conversion algorithm based on the Gaussian mixture model (GMM) has also been proposed by Stylianou et al. In this algorithm, the acoustic space of a speaker is represented continuously. In this paper, we apply this GMMbased voice conversion algorithm to STRAIGHT proposed by Kawahara et al., which is recognized as a high quality vocoder. In order to evaluate this voice conversion algor...

Cross-language voice conversion is useful for many applications, and we are trying to apply the technique to a language training system for reducing voice individuality differences. In this paper, we describe experiments that test effectiveness of an extension of single-language voice conversion, to include cross-language utterances. The performance was investigated by objective and perceptual ...

Voice conversion consists in transforming a source speaker voice into a target speaker voice. There are many applications of voice conversion systems where the amount of training data from the source speaker and the target speaker is different. Usually, the amount of source data available is large, but it is desired to estimate the transformation with a small amount of target data. Systems base...

CROSS-LINGUAL VOICE CONVERSION Cross-lingual voice conversion refers to the automatic transformation of a source speaker’s voice to a target speaker’s voice in a language that the target speaker can not speak. It involves a set of statistical analysis, pattern recognition, machine learning, and signal processing techniques. This study focuses on the problems related to cross-lingual voice conve...