Award
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- Our paper ’Harmonic and Entropy Neural Modeling with Demographic Fusion for Speech-Based Depression Detection’ received the best paper award from International Conference on Artificial Neural Networks (ICANN) 2026.
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Great news!
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Congratulations to the team for proposing ‘A Semi-Supervised Acoustic Scene Classification Network Based on Multi-Modal Information Fusion’, achieving thrid place globally in City and Time-Aware Semi-supervised Acoustic Scene Classification, APSIPA ASC 2025 Grand Challenge.
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Congratulations to the team for proposing low complexity acoustic scene classification framework DynaCP, achieving thrid place globally in DCASE 2025 Task 1.
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恭喜!
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Congratulation!
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Congratulations! The paper “Cross Domain Optimization for Speech Enhancement: Parallel or Cascade?” has been accepted by IEEE/ACM Transactions on Audio, Speech and Language Processing.
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Congratulations! The paper “On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection” accepted by the prestigious conference ICLR 2024.
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Congratulations to the team for proposing an audio-visual fusion detection and localization framework, achieving fourth place globally in both DCASE 2024 Task 3.A & 3.B for Audio-Visual Fusion Sound Event Detection and Localization.
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Congratulations to the team’s student for achieving second place globally in DCASE 2023 Task 3.A for Audio-Visual Fusion Sound Event Detection and Localization.
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Congratulations to the team for winning second place globally at the 2022 ICASSP in Singapore with their project L3DAS22: Machine Learning for 3D Audio Signal Processing - 3D Sound Event Localization and Detection.
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Congratulations to the team for winning the Chongqing Gold Award at the 2022 National Internet+ Innovation and Entrepreneurship Competition for University Students with their project ‘Tracking the Sound - High-Speed Train Chassis Stability Quick Inspection Supplier.’
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Congratulations to the team for achieving the first place globally in the 2022 DCASE Task 2 for Unsupervised Machine Condition Monitoring. This project focuses on monitoring the condition of machines, such as engines and bearings, to detect anomalies and eliminate the need for manual monitoring, significantly reducing costs. This achievement has broad applications in the industrial sector.
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Congratulations to the team for winning the national bronze medal at the 2021 China “Internet+” College Students Innovation and Entrepreneurship Competition with the project “Timbre” - an intelligent safety monitoring robot based on computer audition technology.
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Congratulations to the team for winning the national silver award in the 2021 National Internet+ College Student Innovation and Entrepreneurship Competition with their project “Windblade Listener - An Intelligent Approach for Wind Turbine Blade Monitoring Using Sound”. This project focuses on evaluating the rotational state of wind turbine blades to detect abnormalities such as icing or cracks, significantly enhancing the level of automation.
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Congratulations to our team for achieving Global Top 10 at the 2020 ICASSP in Spain with the project “Beamforming Videos.”
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Congratulations to our team for winning the National Silver Award at the 2019 China National “Internet +” College Students Innovation and Entrepreneurship Competition with the project “The Intelligent Wheelchair Based on GIS and MIC Array Speech Recognition.”