Voice control has attracted extensive attention recently as it is a prospective User Interface
(UI) to substitute for conventional touch control on smart devices. Voice assistants have …

Self-supervised Audio Transformers (SAT) enable great success in many downstream
speech applications like ASR, but how they work has not been widely explored yet. In this …

This paper considers utilising breaths to create improved spontaneous-speech corpora for
conversational text-to-speech from found audio recordings such as dialogue podcasts …

Despite the recent advance in self-supervised representations, unsupervised phonetic
segmentation remains challenging. Most approaches focus on improving phonetic …

The objective of this paper is to develop an unsupervised method for segmentation of
speech signals into phoneme-like units. The proposed algorithm is based on the …

This paper presents a new approach for unsupervised segmentation and labeling of
acoustically homogeneous segments from the speech signals. The virtual labels, thus …

This paper proposes a new method that detects the repeated keyword/phrase patterns from
speech utterances by performing pattern discovery at the phoneme level. Prior to this …

Voice-enabled interfaces for human-machine interaction have made significant progress in
recent years. Most of the success can be attributed to deep neural networks trained on …

Nowadays with the recent development in Brain Computer Interfaces (BCI), research field
branches to arts and especially to music. In our study, a system is developed which analyses …

An algorithm for large-scale adaptation of prototype functions representing image classes is
proposed. The algorithm identifies the parameters of nonlinear scale distortions contained in …