Text-to-speech systems (TTS) have come a long way in the last decade and are now a
popular research topic for creating various human-computer interaction systems. Although, a …

Designing and generating new data under targeted properties has been attracting various
critical applications such as molecule design, image editing and speech synthesis …

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 …

Emotional speech synthesis aims to synthesize human voices with various emotional effects.
The current studies are mostly focused on imitating an averaged style belonging to a specific …

Air traffic controller (ATC) fatigue has become a major cause of air traffic accidents. Speech-
based fatigue-state detection is proposed in this paper. The speech signal is preprocessed …

Speech synthesis has made significant strides thanks to the transition from machine learning
to deep learning models. Contemporary text-to-speech (TTS) models possess the capability …

Speech is easily interfered by external environment in reality, which results in the loss of
important features. Deep learning has become a popular speech enhancement method …

A DNN‐based cost prediction method is proposed for the difficult problem of cost calculation
in engineering cost accounting, combined with deep neural networks. Firstly, we introduce …

Speech generation aims to synthesize human-like voices from the input of text or speech.
Current speech generation techniques can generate high quality, natural-sounding speech …

Modeling emotions is an important part of text-to-speech (TTS) research since its goal is to
develop a technology for synthesizing naturally sounding speech. In this study, we aimed to …