Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc Changheng Li

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: Statistical analysis, 1-bit sampling, massive MIMO

Themes: Health and Wellbeing

Biography

Changheng Li is a PhD student at SPS with dr. Richard Hendriks, starting November 2020. He obtained his MSc degree from University of Science and Technology (USTC), China.

Personalized Auditory Scene Modification to Assist Hearing Impaired People

Algorithms to personalize the presented auditory scene for improved speech intelligibility and sound localization hearing impaired users

Model Based Parameter Estimation to Assist Hearing Assistive Devices

To jointly estimate all acoustic scene parameters that are required to successfully improve the speech intelligibility and preserve the spatial cues.

Multi-Microphone

Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario

Matlab software for estimating the ATF, source PSD, and late reverberation PSD for a single source scenario.

Software, Dec 2022

Parameter estimation for speech enhancement applications

Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario

Matlab software for estimating the ATF, source PSD, and late reverberation PSD for a single source scenario.

Software, Dec 2022

  1. Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
    Changheng Li; J. A. Martinez.; R. C. Hendriks;
    Trans. Audio, Speech and Language Processing,
    Volume 31, pp. 695 - 705, 2023. DOI: 10.1109/TASLP.2022.3231706
    document • software

  2. Alternating Least-Squares-Based Microphone Array Parameter Estimation for A Single-Source Reverberant and Noisy Acoustic Scenario
    Changheng Li; Richard C. Hendriks;
    IEEE Trans. Audio, speech and Lang. Proc.,
    2023.

  3. Adaptive time segmentation for improved signal model parameter estimation for a single-source scenario
    Changheng Li; Richard Hendriks;
    In In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar), Monterey, California, USA,
    2023.

  4. Adaptive time segmentation for improved signal model parameter estimation for a single-source scenario
    Changheng Li; Richard C.Hendriks;
    In In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar), Monterey, California, USA,
    2023.

  5. Low complex accurate multi-source RTF estimation
    Changheng Li; Jorge Martinez; Richard C. Hendriks;
    In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    2022.
    document

BibTeX support

Last updated: 31 Dec 2022

Changheng Li