Adaptive text to speech (TTS) can synthesize new voices in zero-shot scenarios efficiently,
by using a well-trained source TTS model without adapting it on the speech data of new …

Personalizing a speech synthesis system is a highly desired application, where the system
can generate speech with the user's voice with rare enrolled recordings. There are two main …

The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to provide a common
sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning …

The existing fake audio detection systems often rely on expert experience to design the
acoustic features or manually design the hyperparameters of the network structure …

Multi-speaker text-to-speech (TTS) using a few adaption data is a challenge in practical
applications. To address that, we propose a zero-shot multi-speaker TTS, named nnSpeech …

State-of-the-art text-to-speech (TTS) systems require several hours of recorded speech data
to generate high-quality synthetic speech. When using reduced amounts of training data …

Abstract End-to-end (e2e) speech synthesis systems have become popular with the recent
introduction of text-to-spectrogram conversion systems, such as Tacotron, that use encoder …

Personalized TTS is an exciting and highly desired application that allows users to train their
TTS voice using only a few recordings. However, TTS training typically requires many hours …