Localize Target Source with Complex Watson Mixture Model and Time-Frequency Selection
Researchers from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences addressed the problem of target source localization from a novel perspective by first performing target source separation before localization.
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Review of Fast Affine Projection Algorithms
Researchers from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences carried out a thorough review of the fast affine projection algorithms, evaluated the complexity and performance of each fast version and indicated their adv...
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Recognize Acoustic Scene More Accurately with Scalogram and Deep Convolutional Neural Network
Researchers from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences proposed a novel framework based on the wavelet transform and deep convolutional neural network. The study was published in Proceedings of the Annual Confere...
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New Frequency Estimation Algorithm for Effectively Eliminating Time-Varying Multi-Tone Noise
A research team led by Prof. YANG Jun from the Institute of Acoustics (IOA) of Chinese Academy of Sciences proposed a newfrequency estimation algorithm based on a parallel notch filter structure, to track the frequencies of the noise signal w...
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Novel Acoustic Target Feature Analysis Method Based on Image Pattern Recognition Technique
Recently, researchers from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences, together with researchers from France, proposed a novel acoustic target feature analysis method based on image pattern recognition technique, whic...
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