Emotion-related feature extraction is a challenging task in speech emotion recognition. Due
to the lack of discriminative acoustic features, classical approaches based on traditional …

In this paper, we propose a language-independent end-to-end architecture for prosodic
boundary prediction based on BLSTMCRF. The proposed architecture has three …

The prediction of symbolic prosodic categories from text is an important, but challenging,
natural-language processing task given the various ways in which an input can be realized …

The detection of perceived prominence in speech has attracted approaches ranging from
the design of knowledge-based linguistic and acoustic features to the automatic feature …

Prosodic events such as pitch accents and phrase boundaries have various acoustic and
temporal correlates that are used as features in machine learning models to automatically …

Automatic detection of prominence in speech has attracted interest in recent years due to its
multiple uses in spoken language applications. However, typical approaches require …

Self-attention mechanisms have enabled transformers to achieve superhuman-level
performance on many speech-to-text (STT) tasks, yet the challenge of automatic prosodic …

Hierarchical prosody structure generation is an important but challenging component for
speech synthesis systems. In this paper, we investigate the use of enhanced embedding …

This paper demonstrates the potential of convolutional neural networks (CNN) for detecting
and classifying prosodic events on words, specifically pitch accents and phrase boundary …

Speech technology is becoming commonplace. Traditional telephony based interactive
voice systems have been joined by virtual assistants and navigation systems to create a …