Voice Conversion (VC) consists in modifying a source voice to a target speaker voice. In our approach, we modified only the Code excited linear Predictive (CELP) coder by introducing a pre-processing before the coder for the voice conversion. The decoder part of CELP was not modified. This allows maintaining the transmission rate. Our approach for conversion consists in separating the voiced an...

This paper proposes a new training method of deep neural networks (DNNs) for statistical voice conversion. DNNs are now being used as conversion models that represent mapping from source features to target features in statistical voice conversion. However, there are two major problems to be solved in conventional DNN-based voice conversion: 1) the inconsistency between the training and synthesi...

Two speech processing systems have been developed for realtime and non-real-time voice conversion. Using the real-time processing the user can apply conversion during voice over IP (VoIP) calls imitating identity of a specified target speaker. Non-real-time processing system converts prerecorded audio books read by a professional reader imitating voice of the user. Both systems require some spe...

In this paper, we propose a computationally efficient method of body-conducted voice conversion. A body-conducted voice is robust against to external noise but its voice quality is severely degraded by mechanisms of body-conduction. The conventional body-conducted voice conversion method effectively enhances the body-conducted voice by converting both spectral and excitation features. On the ot...

Voice conversion has been used in many applications. The methods based on vector quantization codebook and Gaussian mixture models need dynamic time warping on parallel sentence corpus for generating mapping functions. Recent study tries to use less training data, and even without parallel sentence corpus. This paper presents a voice conversion method without using parallel sentence corpus. It ...

Voice conversion techniques attempt to modify speech signal so that it is perceived as if spoken by another speaker, different from the original speaker. In this paper, we present a novel approach to perform voice conversion. Our approach uses acoustic models based on units of speech, like phones and diphones, for voice conversion. These models can be computed and used independently for a given...

Recently, voice conversion has becoming the research hotspot, because of its widely application areas. However, the voice conversion technology is still immature. By the researching of existing voice conversion models, the voice conversion system based on the RBF neutral network was designed, and the system simulation was implemented. During conversion, the unvoiced speech was excluded and the ...

A new voice conversion method that improves the quality of the voice conversion output at higher sampling rates is proposed. Speaker Transformation Algorithm Using Segmental Codebooks (STASC) is modified to process source and target speech spectra in different subbands. The new method ensures better conversion at sampling rates above 16KHz. Discrete Wavelet Transform (DWT) is employed for subba...

This paper presents a novel method of enhancing esophageal speech using statistical voice conversion. Esophageal speech is one of the alternative speaking methods for laryngectomees. Although it doesn’t require any external devices, generated voices usually sound unnatural compared with normal speech. To improve the intelligibility and naturalness of esophageal speech, we propose a voice conver...

This work address the application of Voice Conversion to singing-voice. The GMM-based approach was applied to VOCALOID, a concatenative singing synthesizer, to perform singer timbre conversion. The conversion framework was applied to full-quality singing databases, achieving a satisfactory conversion effect on the synthesized utterances. We report in this paper the results of our experimentatio...