This paper describes a novel framework of voice conversion (VC). We call it eigenvoice conversion (EVC). We apply EVC to the conversion from a source speaker’s voice to arbitrary target speakers’ voices. Using multiple parallel data sets consisting of utterancepairs of the source and multiple pre-stored target speakers, a canonical eigenvoice GMM (EV-GMM) is trained in advance. That conversion ...

This paper presents the concept of a voice profile as a complete description of the distributions of the acoustic correlates and the speaking characteristics of a speaker. A voice profile can be considered as a unified speakerdependent probability model of speech with applications in speaker identification, adaptive speech recognition, voice morphing and text to speech synthesis. The spectral a...

As one of the techniques enabling individual singers to produce the varieties of voice timbre beyond their own physical constraints, a statistical voice timbre control technique based on the perceived age has been developed. In this technique, the perceived age of a singing voice, which is the age of the singer as perceived by the listener, is used as one of the intuitively understandable measu...

Voice Conversion (VC) systems modify a speaker voice (source speaker) to be perceived as if another speaker (target speaker) had uttered it. Previous published VC approaches using Gaussian Mixture Models [1] performs the conversion in a frame-by-frame basis using only spectral information. In this paper, two new approaches are studied in order to extend the GMM-based VC systems. First, dynamic ...

This paper presents an approach to parametric voice conversion that can be used in real-time entertainment applications. The approach is based on spectral mapping using an artificial neural network (ANN) with rectified linear units (ReLU). To overcome the oversmoothing problem a special network configuration is proposed that utilizes temporal states of the speaker. The speech is represented usi...

Music is closely related to human life and an important way for people express their feelings in life. Deep neural networks have played a significant role the field of music processing. There are many different network models implement deep learning audio For general networks, there problems such as complex operation slow computing speed. In this paper, we introduce Long Short-Term Memory (LSTM...

Around nine million individuals are dumb at intervals of the planet's unit measurement. Communication between a deaf and hearing person has significant disadvantage as compared to communication blind elderly visual individuals. A translator is gadget that translates hand motions sensible speech. This job provides assistance persons who dumb. The main goal this research connect them actual world...

Voice conversion systems deal with the conversion of a speech signal to sound as if it was uttered by another speaker. The conversion of the spectral features has attracted a lot of research attention but the conversion of pitch, modeling the speakerdependent prosody, is often achieved by just controlling the F0 level and range. However, the detailed prosody, including different linguistic unit...