4 citations · 4 across the 4 of their papers we have counts for
5 papers
PRISM-Bench: An Audio-Centric Diagnostic Benchmark for Text-to-Audio-Video Generation
Yuchen Sun, Qian Yang, Jun Wang +4
Text-to-audio-video (T2AV) generation has advanced rapidly, but its evaluation still underestimates the audio modality. Existing benchmarks either treat audio as an auxiliary compo…
LongCat-AudioDiT: High-Fidelity Diffusion Text-to-Speech in the Waveform Latent Space
Detai Xin, Shujie Hu, Chengzuo Yang +4
We present LongCat-AudioDiT, a novel, non-autoregressive diffusion-based text-to-speech (TTS) model that achieves state-of-the-art (SOTA) performance. Unlike previous methods that…
AS-Speech: Adaptive Style For Speech Synthesis
Zhipeng Li, Xiaofen Xing, Jun Wang +4
In recent years, there has been significant progress in Text-to-Speech (TTS) synthesis technology, enabling the high-quality synthesis of voices in common scenarios. In unseen situ…
Multi-speaker Multi-style Text-to-speech Synthesis With Single-speaker Single-style Training Data Scenarios
Qicong Xie, Tao Li, Xinsheng Wang +4
In the existing cross-speaker style transfer task, a source speaker with multi-style recordings is necessary to provide the style for a target speaker. However, it is hard for one…
Data Efficient Voice Cloning from Noisy Samples with Domain Adversarial Training
Jian Cong, Shan Yang, Lei Xie +2
Data efficient voice cloning aims at synthesizing target speaker's voice with only a few enrollment samples at hand. To this end, speaker adaptation and speaker encoding are two ty…