Attempts to add emotion effects to synthesised speech have existed for more than a decade
now. Several prototypes and fully operational systems have been built based on different …

When a smart device talks, what should its voice sound like? Voice-enabled devices are
becoming a ubiquitous presence in our everyday lives. Simultaneously, speech synthesis …

During expressive speech, the voice is enriched to convey not only the intended semantic
message but also the emotional state of the speaker. The pitch contour is one of the …

Speech emotion recognition is an important research topic that can help to maintain and
improve public health and contribute towards the ongoing progress of healthcare …

BACKGROUND Conventional CTTS systems use a database of speech seg ments (eg,
phonemes, syllables, and/or entire words) recorded from a single speaker to select speech …

Automatic recognition and understanding of speech are crucial steps towards natural human–
machine interaction. Apart from the recognition of the word sequence, the recognition of …

Work on expressive speech synthesis has long focused on the expression of basic
emotions. In recent years, however, interest in other expressive styles has been increasing …

Automatic emotion recognition from speech has matured close to the point where it reaches
broader commercial interest. One of the last major limiting factors is the ability to deal with …

Robust automatic speech emotional-speech recognition architectures based on hybrid
convolutional neural networks (CNN) and feedforward deep neural networks are proposed …

We have applied two state-of-the-art speech synthesis techniques (unit selection and HMM-
based synthesis) to the synthesis of emotional speech. A series of carefully designed …