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Yinghao Aaron Li
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Conference and Workshop Papers
- 2024
- [c8]Xilin Jiang, Cong Han, Yinghao Aaron Li, Nima Mesgarani:
Exploring Self-supervised Contrastive Learning of Spatial Sound Event Representation. ICASSP 2024: 1281-1285 - 2023
- [c7]Cong Han, Vishal Choudhari, Yinghao Aaron Li, Nima Mesgarani:
Improved Decoding of Attentional Selection in Multi-Talker Environments with Self-Supervised Learned Speech Representation. EMBC 2023: 1-5 - [c6]Yinghao Aaron Li, Cong Han, Xilin Jiang, Nima Mesgarani:
Phoneme-Level Bert for Enhanced Prosody of Text-To-Speech with Grapheme Predictions. ICASSP 2023: 1-5 - [c5]Xilin Jiang, Yinghao Aaron Li, Nima Mesgarani:
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes. INTERSPEECH 2023: 2818-2822 - [c4]Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani:
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. NeurIPS 2023 - [c3]Yinghao Aaron Li, Cong Han, Nima Mesgarani:
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs. WASPAA 2023: 1-5 - 2022
- [c2]Yinghao Aaron Li, Cong Han, Nima Mesgarani:
Styletts-VC: One-Shot Voice Conversion by Knowledge Transfer From Style-Based TTS Models. SLT 2022: 920-927 - 2021
- [c1]Yinghao Aaron Li, Ali Zare, Nima Mesgarani:
StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion. Interspeech 2021: 1349-1353
Informal and Other Publications
- 2024
- [i13]Gavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani:
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain. CoRR abs/2401.17671 (2024) - [i12]Xilin Jiang, Cong Han, Yinghao Aaron Li, Nima Mesgarani:
Listen, Chat, and Edit: Text-Guided Soundscape Modification for Enhanced Auditory Experience. CoRR abs/2402.03710 (2024) - [i11]Xilin Jiang, Yinghao Aaron Li, Adrian Nicolas Florea, Cong Han, Nima Mesgarani:
Speech Slytherin: Examining the Performance and Efficiency of Mamba for Speech Separation, Recognition, and Synthesis. CoRR abs/2407.09732 (2024) - 2023
- [i10]Yinghao Aaron Li, Cong Han, Xilin Jiang, Nima Mesgarani:
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions. CoRR abs/2301.08810 (2023) - [i9]Cong Han, Vishal Choudhari, Yinghao Aaron Li, Nima Mesgarani:
Improved Decoding of Attentional Selection in Multi-Talker Environments with Self-Supervised Learned Speech Representation. CoRR abs/2302.05756 (2023) - [i8]Xilin Jiang, Yinghao Aaron Li, Nima Mesgarani:
DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio Codes. CoRR abs/2305.18441 (2023) - [i7]Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani:
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. CoRR abs/2306.07691 (2023) - [i6]Yinghao Aaron Li, Cong Han, Nima Mesgarani:
SLMGAN: Exploiting Speech Language Model Representations for Unsupervised Zero-Shot Voice Conversion in GANs. CoRR abs/2307.09435 (2023) - [i5]Yinghao Aaron Li, Cong Han, Xilin Jiang, Nima Mesgarani:
HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform. CoRR abs/2309.09493 (2023) - [i4]Xilin Jiang, Cong Han, Yinghao Aaron Li, Nima Mesgarani:
Exploring Self-Supervised Contrastive Learning of Spatial Sound Event Representation. CoRR abs/2309.15938 (2023) - 2022
- [i3]Yinghao Aaron Li, Cong Han, Nima Mesgarani:
StyleTTS: A Style-Based Generative Model for Natural and Diverse Text-to-Speech Synthesis. CoRR abs/2205.15439 (2022) - [i2]Yinghao Aaron Li, Cong Han, Nima Mesgarani:
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models. CoRR abs/2212.14227 (2022) - 2021
- [i1]Yinghao Aaron Li, Ali Zare, Nima Mesgarani:
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion. CoRR abs/2107.10394 (2021)
Coauthor Index
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