StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion. - Yinghao Aaron Li; Ali Zare; Nima Mesgarani (Interspeech, 2021)

Styletts-VC: One-Shot Voice Conversion by Knowledge Transfer From Style-Based TTS Models. - Yinghao Aaron Li; Cong Han; Nima Mesgarani (SLT, 2022)

Improved Decoding of Attentional Selection in Multi-Talker Environments with Self-Supervised Learned Speech Representation. - Cong Han; Vishal Choudhari; Yinghao Aaron Li; Nima Mesgarani (EMBC, 2023)

Phoneme-Level Bert for Enhanced Prosody of Text-To-Speech with Grapheme Predictions. - Yinghao Aaron Li; Cong Han; Xilin Jiang; Nima Mesgarani (ICASSP, 2023)

DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes. - Xilin Jiang; Yinghao Aaron Li; Nima Mesgarani (INTERSPEECH, 2023)

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. - Yinghao Aaron Li; Cong Han; Vinay S. Raghavan; Gavin Mischler; Nima Mesgarani (NeurIPS, 2023)

SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs. - Yinghao Aaron Li; Cong Han; Nima Mesgarani (WASPAA, 2023)

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform. - Yinghao Aaron Li; Cong Han; Xilin Jiang; Nima Mesgarani (CoRR, 2023)

Exploring Self-supervised Contrastive Learning of Spatial Sound Event Representation. - Xilin Jiang; Cong Han; Yinghao Aaron Li; Nima Mesgarani (ICASSP, 2024)

Listen, Chat, and Edit: Text-Guided Soundscape Modification for Enhanced Auditory Experience. - Xilin Jiang; Cong Han; Yinghao Aaron Li; Nima Mesgarani (CoRR, 2024)

Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation. - Yinghao Aaron Li; Xilin Jiang; Jordan Darefsky; Ge Zhu; Nima Mesgarani (CoRR, 2024)

Contextual feature extraction hierarchies converge in large language models and the brain. - Gavin Mischler; Yinghao Aaron Li; Stephan Bickel; Ashesh D. Mehta; Nima Mesgarani (Nat. Mac. Intell., 2024)

Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis. - Xilin Jiang; Yinghao Aaron Li; Adrian Nicolas Florea; Cong Han; Nima Mesgarani (ICASSP, 2025)

StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion. - Yinghao Aaron Li; Xilin Jiang; Cong Han; Nima Mesgarani (NAACL (Long Papers), 2025)

StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis. - Yinghao Aaron Li; Cong Han; Nima Mesgarani (IEEE J. Sel. Top. Signal Process., 2025)

Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience. - Xilin Jiang; Cong Han; Yinghao Aaron Li; Nima Mesgarani (IEEE J. Sel. Top. Signal Process., 2025)