Blog posts

2024

获奖信息

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恭喜!

  • 项目“乘用车座舱声景设计与智能控制关键技术”荣获2024中国汽车工程学会科学技术奖,科学技术进步奖,二等奖.

JASA

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Congratulation!

  • The paper “Spectral network based on lattice convolution and adversarial training for noise-robust speech super-resolution” has been accepted by The Journal of the Acoustical Society of America (JASA).

APSIPA

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Congratulations!

  • The paper “SDNet: Noise-Robust Bandwidth Extension under Flexible Sampling Rates” have been accepted by Asia Pacific Signal and Information Processing Association (APSIPA), 2024.
  • The paper “Diverse Time-Frequency Attention Neural Network for Acoustic Echo Cancellation” have been accepted by Asia Pacific Signal and Information Processing Association (APSIPA), 2024.

TASLP

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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.

ICLR

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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.

Award

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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.

ICASSP

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  • Congratulations! The paper of “Towards optimized multi-channel modulo-ADCS: moduli selection strategies and bit depth analysis” was accepted by ICASSP 2024.
  • Congratulations! The paper of “Understanding Gaussian Noise Mismatch: A Hellinger Distance Approach” was accepted by ICASSP 2024.

2023

INTERSPEECH

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  • The paper “Time-frequency Domain Filter-and-sum Network for Multi-channel Speech Separation” was accepted by INTERSPEECH 2023.
  • The paper “mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra” was accepted by INTERSPEECH 2023.

Award

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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.

2022

Award

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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.

Award

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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.’

Award

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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.

2021

Award

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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.

Award

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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.

2020

Award

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Congratulations to our team for achieving Global Top 10 at the 2020 ICASSP in Spain with the project “Beamforming Videos.”

2019

Award

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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.”