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cs.SD2026
TS-SP: Learning Speaker-Preserving Representations in Audio Large Language Models
Junjie Li, Zheng Liang, Zhe Li +2
Audio large language models (ALLMs) can understand speech content, yet their ability to use speaker identity for verification remains limited. We propose TS-SP (Two-Stage Speaker P…
cs.SD2026
Beyond Residual Connections: Manifold-Constrained Hyper-Connections for Robust Speaker Representation Learning
Zezhong Jin, Xiaoyu Wang, Zhe Li +4
Residual connections are fundamental to deep speaker recogni- tion models, such as ECAPA-TDNN and ResNet. However, standard identity mapping limits information flow to a sin- gle p…
cs.SD2024
Subtractive Training for Music Stem Insertion using Latent Diffusion Models
Ivan Villa-Renteria, Mason L. Wang, Zachary Shah +4
We present Subtractive Training, a simple and novel method for synthesizing individual musical instrument stems given other instruments as context. This method pairs a dataset of c…