104 citations · 305 across the 50 of their papers we have counts for
5 papers · 2 filters
NeuroHeed+: Improving Neuro-steered Speaker Extraction with Joint Auditory Attention Detection
Zexu Pan, Gordon Wichern, Francois G. Germain +2
Neuro-steered speaker extraction aims to extract the listener's brain-attended speech signal from a multi-talker speech signal, in which the attention is derived from the cortical…
Scenario-Aware Audio-Visual TF-GridNet for Target Speech Extraction
Zexu Pan, Gordon Wichern, Yoshiki Masuyama +4
Target speech extraction aims to extract, based on a given conditioning cue, a target speech signal that is corrupted by interfering sources, such as noise or competing speakers. B…
Generation or Replication: Auscultating Audio Latent Diffusion Models
Dimitrios Bralios, Gordon Wichern, François G. Germain +4
The introduction of audio latent diffusion models possessing the ability to generate realistic sound clips on demand from a text description has the potential to revolutionize how…
The Sound Demixing Challenge 2023 $\unicode{x2013}$ Cinematic Demixing Track
Stefan Uhlich, Giorgio Fabbro, Masato Hirano +14
This paper summarizes the cinematic demixing (CDX) track of the Sound Demixing Challenge 2023 (SDX'23). We provide a comprehensive summary of the challenge setup, detailing the str…
TS-SEP: Joint Diarization and Separation Conditioned on Estimated Speaker Embeddings
Christoph Boeddeker, Aswin Shanmugam Subramanian, Gordon Wichern +2
Since diarization and source separation of meeting data are closely related tasks, we here propose an approach to perform the two objectives jointly. It builds upon the target-spea…