Listen to the Speaker in Your Gaze

Attending to one’s voice in a cocktail party is notably challenging, particularly for individuals with hearing impairments. This paper proposes a novel eye-controlled target speaker extraction system, which consists of an eye-tracker, face detection model, Active Speaker Detection (ASD), and Target Speaker Extraction (TSE) model. The system employs the eye-tracker to capture real-time video together with the listener’s gaze. This gaze data then allows the face detection model to locate and isolate the target speaker’s face within the video on a frame-by-frame basis. Using the speaker’s face as the reference cue, the system can discern and separate his/her speech from a mixture of multi-talk. The experiments show that the system effectively extracts the target speaker’s speech in complex auditory environments, providing both real-time performance and accuracy. A demonstration of our system is available on our website<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/cis-ram61939.2024.10672879
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.35

Funders

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article

Listen to the Speaker in Your Gaze

Hao Huang, Haizhou Li, Siqi Cai, Junjie Li et al.
1 citations
Speech and Audio Processing
0.35
article

Listen to the Speaker in Your Gaze

Hao Huang, Haizhou Li, Siqi Cai, Junjie Li, Xinyi Chen, Hongli Yang
article en
1 citations

Abstract

Attending to one’s voice in a cocktail party is notably challenging, particularly for individuals with hearing impairments. This paper proposes a novel eye-controlled target speaker extraction system, which consists of an eye-tracker, face detection model, Active Speaker Detection (ASD), and Target Speaker Extraction (TSE) model. The system employs the eye-tracker to capture real-time video together with the listener’s gaze. This gaze data then allows the face detection model to locate and isolate the target speaker’s face within the video on a frame-by-frame basis. Using the speaker’s face as the reference cue, the system can discern and separate his/her speech from a mixture of multi-talk. The experiments show that the system effectively extracts the target speaker’s speech in complex auditory environments, providing both real-time performance and accuracy. A demonstration of our system is available on our website<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>.

National University of Singapore (SG), Shenzhen Research Institute of Big Data (CN), Xinjiang University (CN)
National Natural Science Foundation of China, Shenzhen Research Institute of Big Data
Openalex Percentile: Top 44%
Speech and Audio Processing
0.35
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Listen to the Speaker in Your Gaze — Hao Huang, Haizhou Li, et al. · (2024) | TGRS Research Map | TGRS