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>.
Authors
- Hao Huang (ORCID: https://orcid.org/0000-0001-6604-0951)
- Haizhou Li
- Siqi Cai (ORCID: https://orcid.org/0000-0003-3282-9246)
- Junjie Li (ORCID: https://orcid.org/0000-0002-4857-2214)
- Xinyi Chen (ORCID: https://orcid.org/0000-0003-3321-2483)
- Hongli Yang (ORCID: https://orcid.org/0009-0008-7605-655X)
Institutions
- National University of Singapore (SG)
- Shenzhen Research Institute of Big Data (CN)
- Xinjiang University (CN)
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
- National Natural Science Foundation of China
- Shenzhen Research Institute of Big Data