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

MSc Changheng Li

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

PhD thesis (Sep 2025): Multi-Microphone Signal Parameter Estimation in Various Acoustic Scenarios
Promotor: Richard Hendriks, Alle-Jan van der Veen

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

Themes: Health and Wellbeing

Biography

Changheng Li was a PhD student at SPS with dr. Richard Hendriks, starting November 2020. He obtained his PhD degree on 18 Sept 2025. Prior to this, he obtained his MSc degree from University of Science and Technology (USTC), China. After his PhD, he went on as Postdoc in the Embedded Systems group of TU Delft, working on wireless sensing for 6G.

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.

Acoustic Parameter Estimation

Multimicrophone Signal Parameter Estimation in a Multi-Source Noisy Reverberant Scenario

MATLAB software for jointly estimating the RTFs, source PSDs, late reverberation PSD and noise PSD for a multiple source scenario

Software, Jan 2025

Alternating Least-Squares-Based Microphone Array Parameter Estimation for a Single-Source Reverberant and Noisy Acoustic Scenario

MATLAB software for estimating the RTF, source PSD, late reverberation PSD and ambient noise PSD at low complexity for a single source scenario

Software, Aug 2023

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

MATLAB software for estimating the RTF, source PSD, and late reverberation PSD for a single source scenario

Software, Jan 2023

  1. Multimicrophone Signal Parameter Estimation in a Multi-Source Noisy Reverberant Scenario
    Changheng Li; Richard C. Hendriks;
    IEEE Trans. Audio Speech Lang. Process.,
    Volume 33, pp. 678–692, 2025. DOI: 10.1109/TASLPRO.2025.3533374
    document • software

  2. Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
    Changheng Li; Jorge Martinez; Richard C. Hendriks;
    IEEE/ACM Trans. Audio Speech Lang. Process.,
    Volume 31, pp. 695–705, 2023. DOI: 10.1109/TASLP.2022.3231706
    document • software

  3. Alternating Least-Squares-Based Microphone Array Parameter Estimation for a Single-Source Reverberant and Noisy Acoustic Scenario
    Changheng Li; Richard C. Hendriks;
    IEEE/ACM Trans. Audio Speech Lang. Process.,
    Volume 31, pp. 3922–3934, 2023. DOI: 10.1109/TASLP.2023.3306713
    document • software

  4. Noise PSD Insensitive RTF Estimation in a Reverberant and Noisy Environment
    Changheng Li; Richard C. Hendriks;
    In Proc. 2023 IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP),
    Rhodes Island, Greece, 2023. DOI: 10.1109/ICASSP49357.2023.10094840

  5. Adaptive Time Segmentation for Improved Signal Model Parameter Estimation for a Single-Source Scenario
    Changheng Li; Richard C. Hendriks;
    In Conf. Rec. 57th Alisomar Conf. Signals Syst. Comp.,
    Pacific Grove, CA, USA, pp. 1106–1111, 2023. DOI: 10.1109/IEEECONF59524.2023.10476904

  6. 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.

  7. Low Complex Accurate Multi-Source RTF Estimation
    Changheng Li; Jorge Martinez; Richard C. Hendriks;
    In Proc. 2022 IEEE Int. Conf. Acoust. Speech Signal Process.,
    Singapore, Singapore, pp. 4953–4957, 2022. DOI: 10.1109/ICASSP43922.2022.9747170
    document

BibTeX support

Last updated: 22 Sep 2025

Changheng Li

Alumnus