47 citations · 207 across the 47 of their papers we have counts for
5 papers · 2 filters
StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion
Yinghao Aaron Li, Xilin Jiang, Cong Han +1
The rapid development of large-scale text-to-speech (TTS) models has led to significant advancements in modeling diverse speaker prosody and voices. However, these models often fac…
Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis
Xilin Jiang, Yinghao Aaron Li, Adrian Nicolas Florea +2
It is too early to conclude that Mamba is a better alternative to transformers for speech before comparing Mamba with transformers in terms of both performance and efficiency in mu…
SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model
Siavash Shams, Sukru Samet Dindar, Xilin Jiang +1
Transformers have revolutionized deep learning across various tasks, including audio representation learning, due to their powerful modeling capabilities. However, they often suffe…
Dual-path Mamba: Short and Long-term Bidirectional Selective Structured State Space Models for Speech Separation
Xilin Jiang, Cong Han, Nima Mesgarani
Transformers have been the most successful architecture for various speech modeling tasks, including speech separation. However, the self-attention mechanism in transformers with q…
Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience
Xilin Jiang, Cong Han, Yinghao Aaron Li +1
In daily life, we encounter a variety of sounds, both desirable and undesirable, with limited control over their presence and volume. Our work introduces "Listen, Chat, and Remix"…