In this paper, we put forward a time-domain female-male voice conversion algorithm. This method mainly focuses on two acoustic features that are thought to be the most important to speech individuality: pitch frequency and formant frequencies. To change pitch frequency, we cut off or add the low amplitude parts of speech signals in one pitch period. To change formants, according to the relation...

People who suffer from larynx cancer are often laryngectomized, losing, as a consequence, their ability to produce normal speech. Despite advances in alaryngeal speech rehabilitation and restoration, laryngectomee speech is of poorer quality and intelligilibility than natural speech. This project explores the use of voice conversion as an alternative method to the enhancement of the quality and...

In this paper, several experiments on F0 transformation within the voice conversion framework are presented. The conversion system is based on a probabilistic transformation of line spectral frequencies and residual prediction. Three probabilistic methods of instantaneous F0 transformation are described and compared. Moreover, a new modification of inter-speaker residual prediction is proposed ...

Recently, a number of voice conversion methods have been developed. These methods attempt to improve conversion performance by using diverse mapping techniques in various acoustic domains, e.g. high-resolution spectra and low-resolution Mel-cepstral coefficients. Each individual method has its own pros and cons. In this paper, we introduce a system fusion framework, which leverages and synergiz...

This paper presents a novel cross-language voice conversion (VC) method based on eigenvoice conversion (EVC). Crosslanguage VC is a technique for converting voice quality between two speakers uttering different languages each other. In general, parallel data consisting of utterance pairs of those two speakers are not available. To deal with this problem, we apply EVC to cross-language VC. First...

We present a voice morphing strategy that can be used to generate a continuum of accent transformations between a foreign speaker and a native speaker. The approach performs a cepstral decomposition of speech into spectral slope and spectral detail. Accent conversions are then generated by combining the spectral slope of the foreign speaker with a morph of the spectral detail of the native spea...

Security systems relying on voice identification can be threatened by human voice imitation or synthetic voices. As voice conversion can be seen as a sort of voice imitation, this paper analyses the performance of an automatic speaker identification system by using converted voices in order to know how vulnerable such systems are to this kind of disguise. The experiments are conducted by using ...

CERTIFICATE This is to certify that the work contained in this thesis titled Spectral mapping using have not been submitted to any other Institute or University for the award of any degree or diploma. Date Mr. Kishore Prahallad ii ACKNOWLEDGEMENTS I would like to express my deepest appreciation to Kishore Prahallad, my advisor for his guidance, encouragement and support throughout my duration a...

We have previously developed a one-to-many eigenvoice conversion (EVC) system enabling the conversion from a specific source speaker’s voice into an arbitrary target speaker’s voice. In this system, eigenvoice Gaussian mixture model (EV-GMM) is trained in advance with multiple parallel data sets composed of utterance pairs of the source and many pre-stored target speakers. The EV-GMM is effecti...

The combination of "voice technology" and "Mobile GIS", has greatly improved the intelligent degree of mobile GIS. Recently, significant attention in the field of scientific research is turning to how to realize quick conversion between natural language and GIS commands. However, the current study mostly concentrates on rules of conversion between natural language sentences and GIS commands fro...