The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Speech technology is not appropriately explored even though modern advances in speech
technology—especially those driven by deep learning (DL) technology—offer …

Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

This paper describes Tacotron 2, a neural network architecture for speech synthesis directly
from text. The system is composed of a recurrent sequence-to-sequence feature prediction …

In this work, we propose “global style tokens”(GSTs), a bank of embeddings that are jointly
trained within Tacotron, a state-of-the-art end-to-end speech synthesis system. The …

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 …

We present Char2Wav, an end-to-end model for speech synthesis. Char2Wav has two
components: a reader and a neural vocoder. The reader is an encoder-decoder model with …

We introduce a technique for augmenting neural text-to-speech (TTS) with low-dimensional
trainable speaker embeddings to generate different voices from a single model. As a starting …

In this study, we propose a speaker-dependent WaveNet vocoder, a method of synthesizing
speech waveforms with WaveNet, by utilizing acoustic features from existing vocoder as …