Text to speech (TTS), or speech synthesis, which aims to synthesize intelligible and natural
speech given text, is a hot research topic in speech, language, and machine learning …

Custom voice, a specific text to speech (TTS) service in commercial speech platforms, aims
to adapt a source TTS model to synthesize personal voice for a target speaker using few …

As an indispensable part of modern human-computer interaction system, speech synthesis
technology helps users get the output of intelligent machine more easily and intuitively, thus …

Zero-shot text-to-speech (TTS) aims to synthesize voices with unseen speech prompts,
which significantly reduces the data and computation requirements for voice cloning by …

With the help of discrete neural audio codecs, large language models (LLM) have
increasingly been recognized as a promising methodology for zero-shot Text-to-Speech …

Conventional text-to-speech (TTS) research has predominantly focused on enhancing the
quality of synthesized speech for speakers in the training dataset. The challenge of …

Text to speech (TTS) is widely used to synthesize personal voice for a target speaker, where
a well-trained source TTS model is fine-tuned with few paired adaptation data (speech and …

Recent advances in neural multi-speaker text-to-speech (TTS) models have enabled the
generation of reasonably good speech quality with a single model and made it possible to …

This work explores the task of synthesizing speech in non-existent human-sounding voices.
We call this task" speaker generation", and present TacoSpawn, a system that performs …

Recent advancements in deep learning have led to significant breakthroughs across various
fields. However, these methods often require extensive labeled data for optimal …