6 citations · 8 across the 16 of their papers we have counts for
6 papers · 1 filter
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…
Cross-Attention with Confidence Weighting for Multi-Channel Audio Alignment
Ragib Amin Nihal, Benjamin Yen, Takeshi Ashizawa +1
Multi-channel audio alignment is a key requirement in bioacoustic monitoring, spatial audio systems, and acoustic localization. However, existing methods often struggle to address…
Knowledge-Augmented Vision Language Models for Underwater Bioacoustic Spectrogram Analysis
Ragib Amin Nihal, Benjamin Yen, Takeshi Ashizawa +1
Marine mammal vocalization analysis depends on interpreting bioacoustic spectrograms. Vision Language Models (VLMs) are not trained on these domain-specific visualizations. We inve…
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…