Recent progress in large-scale zero-shot speech synthesis has been significantly advanced
by language models and diffusion models. However, the generation process of both …

Audio language models have recently emerged as a promising approach for various audio
generation tasks, relying on audio tokenizers to encode waveforms into sequences of …

Music is an integral part of human culture, embodying human intelligence and creativity, of
which songs compose an essential part. While various aspects of song generation have …

With the rise of video production and social media, speech editing has become crucial for
creators to address issues like mispronunciations, missing words, or stuttering in audio …

Text-based speech editing aims at manipulating part of real audio by modifying the
corresponding transcribed text, without being discernible by human auditory system. With …

Text-based speech editing (TSE) techniques are designed to enable users to edit the output
audio by modifying the input text transcript instead of the audio itself. Despite much progress …

Text-based speech editing (TSE) allows users to modify speech by editing the
corresponding text and performing operations such as cutting, copying, and pasting to …

In this paper, we introduce SSR-Speech, a neural codec autoregressive model designed for
stable, safe, and robust zero-shot text-based speech editing and text-to-speech synthesis …

This paper introduces PFlow-VC, a conditional flow matching voice conversion model that
leverages fine-grained discrete pitch tokens and target speaker prompt information for …

As text-based speech editing becomes increasingly prevalent, the demand for unrestricted
free-text editing continues to grow. However, existing speech editing techniques encounter …