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NeuroHeed: Neuro-steered speaker extraction using EEG signals
Humans possess the remarkable ability to selectively attend to a single speaker amidst
competing voices and background noise, known as selective auditory attention. Recent …
competing voices and background noise, known as selective auditory attention. Recent …
[PDF][PDF] PARIS: Pseudo-AutoRegressIve siamese training for online speech separation
While offline speech separation models have made significant advances, the streaming
regime remains less explored and is typically limited to causal modifications of existing …
regime remains less explored and is typically limited to causal modifications of existing …
AV-CrossNet: an Audiovisual Complex Spectral Map** Network for Speech Separation By Leveraging Narrow-and Cross-Band Modeling
Adding visual cues to audio-based speech separation can improve separation performance.
This paper introduces AV-CrossNet, an audiovisual (AV) system for speech enhancement …
This paper introduces AV-CrossNet, an audiovisual (AV) system for speech enhancement …
Sir-progressive audio-visual tf-gridnet with ASR-aware selector for target speaker extraction in MISP 2023 challenge
TF-GridNet has demonstrated its effectiveness in speech separation and enhancement. In
this paper, we extend its capabilities for progressive audio-visual speech enhancement by …
this paper, we extend its capabilities for progressive audio-visual speech enhancement by …
[PDF][PDF] A Target Speaker Extraction Method for the 3rd Audio-Visual Speech Enhancement Challenge
This paper describes our audio-visual target speaker extraction method for the 3rd AVSE
Challenge. This method adopts early channel-wise concatenation to fuse audio-visual …
Challenge. This method adopts early channel-wise concatenation to fuse audio-visual …