Researchers Proposed a Deep Learning Based Binaural Speech Enhancement Approach with Spatial Cues Preservation
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) put forward a research on the speech enhancement method and the spatial information preservation of binaural signals, and proposed a deep-learning-based bi...
Read More >>Researchers Proposed a Parametric Elevation Control Approach for Binaural Reproduction
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed a parametric model and approach for elevation control in binaural reproduction in which the spectral peaks and notches were selected as characteri...
Read More >>Researchers Proposed Packet-Length-Adjustable Attention Model Based on Bytes Embedding for Smart Cybersecurity
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) proposed an attention model which could process network traffic flow with adjustable length to detect payload-based attacks. Furthermore, researchers desig...
Read More >>Novel Deep Learning Method for Broadband Ocean Source Localization with Big Data
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS), collaborating with researchers from Scripps Institution of Oceanography, USA, presented a source-localization method in ocean waveguide with uncertain bot...
Read More >>Researchers First Apply Frequency Estimator based on Bayesian Inference to Narrowband Active Noise Control System
Researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS) applied the Bayesian parameter estimation method to the narrowband active noise control system for the first time, and proposed a narrowband active noise c...
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