Abstract Recently, Convolutional Neural Networks (CNN)-based Generative Adversarial
Networks (GANs) are used for Whisper-to-Normal Speech (ie, WHSP2SPCH) conversion …

Voice conversion (VC) modifies characteristics of speech, such as gender and speaker
identities. The VC can be applied to various tasks including speaking assistance and …

In this paper, we propose a novel algorithm called multiview temporal alignment by
dependence maximisation in the latent space (TRANSIENCE) for the alignment of time …

Cleft lip and palate (CLP) refer to a congenital craniofacial condition that causes various
speech-related disorders. As a result of structural and functional deformities, the affected …

Abstract Text-to-Speech (TTS) synthesis plays an important role in human-computer
interaction. Currently, most TTS technologies focus on the naturalness of speech, namely …

Artificial intelligence has achieved great success in the past decade, but there remains a big
gap between machine and human intelligence. Most supervised approaches rely on large …

Any-to-any voice conversion can be performed among arbitrary speakers, even with a single
reference utterance. Many related studies have demonstrated that it can be effectively …

Audio-visual speech synthesis (AVSS) has garnered attention in recent years for its utility in
the realm of audio-visual learning. AVSS transforms one speaker's speech into another's …

Voice Conversion (VC) is a technique that aims to transform the non-linguistic information of
a source utterance to change the perceived identity of the speaker. While there is a rich …

Sparse-coding techniques for voice conversion assume that an utterance can be
decomposed into a sparse code that only carries linguistic contents, and a dictionary of …