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abhishek-sehgal/README.md

Hi there

  • 🔭 As a Staff Research Engineer 2 at Samsung Research America, I am currently focused on wireless applied research utilizing mmWave and sub-7 Ghz Wi-Fi technologies.
  • 💬 I would be happy to discuss my work on implementing DSP and ML solutions for iOS and Android, particularly in the areas of Audio and Wireless.
  • The repositories forked from SIP-Lab are my Ph.D. work at the Signal and Image Processing Lab under the guidance of Dr. Nasser Kehtarnavaz

CNN-VAD HuggingFace Spaces

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  1. CNN-VAD CNN-VAD Public

    Forked from SIP-Lab/CNN-VAD

    A Convolutional Neural Network based Voice Activity Detector for Smartphones

    Jupyter Notebook

  2. Deep-Learning-Mobile Deep-Learning-Mobile Public

    Forked from SIP-Lab/Deep-Learning-Mobile

    Implementing Deep Learning Models on smartphones using existing Deep Learning Python Libraries

    Java

  3. SIP-Lab/Integrated-Hearing-Aid-App SIP-Lab/Integrated-Hearing-Aid-App Public

    A smartphone applications with Convolutional Neural Network Voice Activity Detector, Adaptive Noise Reduction and Dynamic Audio Range Compression

    C 18 11

  4. SIP-Lab/Smartphone-Research-Platform SIP-Lab/Smartphone-Research-Platform Public

    Basic guidelines for utilizing Android and iOS smartphones as Research Tools for Signal Processing

    JavaScript 1 2