Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Automatic speaker verification (ASV) is one of the most natural and convenient means of
biometric person recognition. Unfortunately, just like all other biometric systems, ASV is …

A text-to-speech synthesis system typically consists of multiple stages, such as a text
analysis frontend, an acoustic model and an audio synthesis module. Building these …

This paper introduces WaveNet, a deep neural network for generating raw audio waveforms.
The model is fully probabilistic and autoregressive, with the predictive distribution for each …

We present Deep Voice 3, a fully-convolutional attention-based neural text-to-speech (TTS)
system. Deep Voice 3 matches state-of-the-art neural speech synthesis systems in …

A vocoder-based speech synthesis system, named WORLD, was developed in an effort to
improve the sound quality of real-time applications using speech. Speech analysis …

ABSTRACT A text-to-speech synthesis system typically consists of multiple stages, such as a
text analysis frontend, an acoustic model and an audio synthesis module. Building these …

Long short-term memory recurrent neural networks (LSTM-RNNs) have been applied to
various speech applications including acoustic modeling for statistical parametric speech …

Several methods for synthetic audio speech generation have been developed in the
literature through the years. With the great technological advances brought by deep …