Voice-to-voice conversion using transformer network*

Voice conversion using General Regression Neural Network

The objective of voice conversion system is to formulate the mapping function which can transform the source speaker characteristics to that of the target speaker. In this paper, we propose the General Regression Neural Network (GRNN) based model for voice conversion. It is a single pass learning network that makes the training procedure fast and comparatively less time consuming. The proposed ...

Vocal conversion from speaking voice to singing voice using STRAIGHT

A vocal conversion system that can synthesize a singing voice given a speaking voice and a musical score is proposed. It is based on the speech manipulation system STRAIGHT [1], and comprises three models controlling three acoustic features unique to singing voices: the F0, duration, and spectral envelope. Given the musical score and its tempo, the F0 control model generates the F0 contour of t...

Voice Conversion Using Articulatory Features

The aim of voice conversion is to transform an utterance spoken by an arbitrary (source) speaker to that of a specific (target) speaker. Text-to-speech (TTS), speech-to-speech translation, mimicry generation and human-machine interaction systems are among the numerous applications which can be greatly benefited by having a voice conversion module. Generally voice conversion systems require para...

Voice Conversion

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...

Voice conversion