For speaker recognition, it is difficult to extract an accurate speaker representation from
speech because of its mixture of speaker traits and content. This paper proposes a …

In self-supervised learning for speaker recognition, pseudo labels are useful as the
supervision signals. It is a known fact that a speaker recognition model doesn't always …

Lyrics are the words that make up a song, while chords are harmonic sets of multiple notes
in music. Lyrics and chords are generally essential information in music, ie unaccompanied …

A speaker extraction algorithm seeks to extract the speech of a target speaker from a multi-
talker speech mixture when given a cue that represents the target speaker, such as a pre …

This paper proposes RefXVC, a method for cross-lingual voice conversion (XVC) that
leverages reference information to improve conversion performance. Previous XVC works …

Neural end-to-end text-to-speech (TTS) is superior to conventional statistical methods in
many ways. However, the exposure bias problem, that arises from the mismatch between …

Automatic speech recognition (ASR) systems have become increasingly popular in recent
years due to their ability to convert spoken language into text. Nonetheless, despite their …

Accent Conversion (AC) seeks to change the accent of speech from one (source) to another
(target) while preserving the speech content and speaker identity. However, many existing …

Cross-lingual voice conversion (XVC) transforms the speaker identity of a source speaker to
that of a target speaker who speaks a different language. Due to the intrinsic differences …

This paper aims to analyse how innovative Artificial Intelligence (AI) systems for non-
standard speech recognition may revolutionize Augmentative Alternative Communication …