Publications

  1. Arijit Biswas and Guanxin Jiang
    RF-GML: Reference-Free Generative Machine Listener
    In 50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06-11 April, 2025.
    @inproceedings{jiang2023generativemachinelistener,
    title={RF-GML: Reference-Free Generative Machine Listener},
    author={Arijit Biswas and Guanxin Jiang},
    year={2025},
    booktitle={50th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06-11 April},
    address={Hyderabad, India},
    url={https://arxiv.org/abs/2409.10210},
    }
  2. Guanxin Jiang, Lars Villemoes, and Arijit Biswas
    Generative Machine Listener
    In 155th Audio Engineering Society (AES) Convention, 2023.
    @inproceedings{jiang2023generativemachinelistener,
    title={Generative Machine Listener},
    author={Guanxin Jiang and Lars Villemoes and Arijit Biswas},
    year={2023},
    booktitle={155th Audio Engineering Society (AES) Convention},
    address={New York, USA},
    url={https://arxiv.org/abs/2308.09493},
    }
  3. Arijit Biswas and Guanxin Jiang
    Stereo InSE-NET: Stereo Audio Quality Predictor Transfer Learned from Mono InSE-NET
    In 153rd Audio Engineering Society (AES), 2022.
    @inproceedings{biswas2022stereoinsenetstereoaudio,
    title={Stereo InSE-NET: Stereo Audio Quality Predictor Transfer Learned from Mono InSE-NET},
    author={Arijit Biswas and Guanxin Jiang},
    year={2022},
    booktitle={153rd Audio Engineering Society (AES)},
    address={New York, USA},
    url={https://arxiv.org/abs/2209.11666},
    }
  4. Guanxin Jiang, Arijit Biswas, Christian Bergler, and Andreas Maier
    InSE-NET: A Perceptually Coded Audio Quality Model based on CNN
    In 151st Audio Engineering Society (AES), 2021.
    @inproceedings{jiang2021insenetperceptuallycodedaudio,
    title={InSE-NET: A Perceptually Coded Audio Quality Model based on CNN},
    author={Guanxin Jiang and Arijit Biswas and Christian Bergler and Andreas Maier},
    year={2021},
    booktitle={151st Audio Engineering Society (AES)},
    address={Las Vegas, USA},
    url={https://arxiv.org/abs/2108.13087},
    }