Scaling text-to-speech (TTS) to large-scale, multi-speaker, and in-the-wild datasets is
important to capture the diversity in human speech such as speaker identities, prosodies …

The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …

Generative artificial intelligence (GenAI), exemplified by ChatGPT, Midjourney, and other
state-of-the-art large language models and diffusion models, holds significant potential for …

To achieve the highest perceptual quality, state-of-the-art diffusion models are optimized
with objectives that typically look very different from the maximum likelihood and the …

Recent advancements in generative speech models based on audio-text prompts have
enabled remarkable innovations like high-quality zero-shot text-to-speech. However …

Large-scale automatic speech translation systems today lack key features that help machine-
mediated communication feel seamless when compared to human-to-human dialogue. In …

Speech conveys more information than just text, as the same word can be uttered in various
voices to convey diverse information. Compared to traditional text-to-speech (TTS) methods …

While recent large-scale text-to-speech (TTS) models have achieved significant progress,
they still fall short in speech quality, similarity, and prosody. Considering speech intricately …

Generative models have gained more and more attention in recent years for their
remarkable success in tasks that required estimating and sampling data distribution to …

Typically, autonomous driving adopts a modular design, which divides the full stack into
perception, prediction, planning and control parts. Though interpretable, such modular …