1 citations · 1 across the 14 of their papers we have counts for
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Unsupervised Single-Channel Audio Separation with Diffusion Source Priors
Runwu Shi, Chang Li, Jiang Wang +5
Single-channel audio separation aims to separate individual sources from a single-channel mixture. Most existing methods rely on supervised learning with synthetically generated pa…
Unsupervised Single-Channel Speech Separation with Diffusion under Speaker-Embedding Guidance
Runwu Shi, Kai Li, Yiyan Wang +5
Speech separation is a fundamental task in audio processing, typically addressed with fully supervised systems trained on paired mixtures. While effective, such systems typically r…
Single-Microphone-Based Sound Source Localization for Mobile Robots in Reverberant Environments
Jiang Wang, Runwu Shi, Benjamin Yen +2
Accurately estimating sound source positions is crucial for robot audition. However, existing sound source localization methods typically rely on a microphone array with at least t…
Single-Channel Target Speech Extraction Utilizing Distance and Room Clues
Runwu Shi, Zirui Lin, Benjamin Yen +3
This paper aims to achieve single-channel target speech extraction (TSE) in enclosures utilizing distance clues and room information. Recent works have verified the feasibility of…
Weakly Supervised Detection and Temporal Localization of Whale Calls in Long-Duration Bioacoustic Data
Ragib Amin Nihal, Benjamin Yen, Runwu Shi +2
Passive acoustic monitoring (PAM) systems generate continuous recordings spanning months, yet automated bioacoustic analysis of whale calls requires two separate annotation efforts…