Invention Grant
- Patent Title: Weakly-supervised sound event detection method and system based on adaptive hierarchical pooling
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Application No.: US18035934Application Date: 2022-06-27
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Publication No.: US12080319B2Publication Date: 2024-09-03
- Inventor: Qirong Mao , Lijian Gao , Yaxin Shen , Qinghua Ren , Yongzhao Zhan , Keyang Cheng
- Applicant: Jiangsu University
- Applicant Address: CN Jiangsu
- Assignee: Jiangsu University
- Current Assignee: Jiangsu University
- Current Assignee Address: CN Jiangsu
- Agency: JCIPRNET
- Priority: CN 2210528373.0 2022.05.16
- International Application: PCT/CN2022/101361 2022.06.27
- International Announcement: WO2023/221237A 2023.11.23
- Date entered country: 2023-05-09
- Main IPC: G10L25/78
- IPC: G10L25/78 ; G10L25/18 ; G10L25/30

Abstract:
The present disclosure provides a weakly-supervised sound event detection method and system based on adaptive hierarchical pooling. The system includes an acoustic model and an adaptive hierarchical pooling algorithm module (AHPA-model), where the acoustic model inputs a pre-processed and feature-extracted audio signal, and predicts a frame-level prediction probability aggregated by the AHPA-module to obtain a sentence-level prediction probability. The acoustic model and a relaxation parameter are jointly optimized to obtain an optimal model weight and an optimal relaxation parameter based for formulating each category of sound event. A pre-processed and feature-extracted unknown audio signal is input to obtain frame-level prediction probabilities of all target sound events (TSEs), and sentence-level prediction probabilities of all categories of TSEs are obtained based on an optimal pooling strategy of each category of TSE. The disclosure has good versatility in being applicable to audio classification, complex acoustic scene, and locating in weakly-supervised sound event detection.
Public/Granted literature
- US20240105211A1 WEAKLY-SUPERVISED SOUND EVENT DETECTION METHOD AND SYSTEM BASED ON ADAPTIVE HIERARCHICAL POOLING Public/Granted day:2024-03-28
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