Voice assistants are spreading in various environments, such as houses and cars, bringing
the possibility of controlling heterogeneous Internet of Things devices with simple voice …

Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a
variant of the standard version (L1), which is challenging as L2 is different from L1 in terms …

Training related machine learning tasks simultaneously can lead to improved performance
on both tasks. Text-to-speech (TTS) and mispronunciation detection and diagnosis (MDD) …

This letter presents a framework towards multi-accent neural text-to-speech synthesis for
zero-shot multi-speaker, which employs an encoder-decoder architecture and an accent …

Zero-shot emotion transfer in cross-lingual speech synthesis aims to transfer emotion from
an arbitrary speech reference in the source language to the synthetic speech in the target …

Synthesizing speech across different accents while preserving the speaker identity is
essential for various real-world customer applications. However, the individual and accurate …

For languages where extensive audio data and text transcriptions are available, text-to-
speech (TTS) systems have showcased the ability to generate speech that closely …

While recent Zero-Shot Text-to-Speech (ZS-TTS) models have achieved high naturalness
and speaker similarity, they fall short in accent fidelity and control. To address this issue, we …

Currently, the development of Foreign Accent Conversion (FAC) models utilizes deep neural
network architectures, as well as ensembles of neural networks for speech recognition and …