Song Li, M. Sc.

Song Li, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
Song Li, M. Sc.
Adresse
Appelstraße 9a
30167 Hannover
Gebäude
Raum
  • Persönliche Informationen

    Curriculum Vitae

    Song Li received his B.Eng. degree in communication engineering from the University of Applied Sciences and Arts Hannover in 2013.

    In 2015, he received his M. Sc. degree in electrical engineering and information technology from the Leibniz University of Hannover.

    Since 2016, he has been working as a research assistant towards a doctoral degree at the Institute of Communications Technology, Leibniz University of Hannover.

    Research Interests

    • Headphone-based 3D audio rendering technology
    • Externalization perception of binaural sounds
    • Measurement of Head-related transfer function (HRTF)
    • Active noise cancellation (ANC) for headphones

    Teaching

    • Grundlagen der Akustik
    • Student laboratory „Audiokommunikation und Akustik“ 
  • Publikationsliste

    Zeitschriftenbeiträge

    • Song Li and Jürgen Peissig (2020): Measurement of Head-Related Transfer Functions: A ReviewApplied Sciences Weitere Informationen
      DOI: 10.3390/app10145014
    • Song Li, Robert Baumgartner and Jürgen Peissig (2020): Modeling perceived externalization of a static, lateral sound imageActa Acustica, 4, 21
      DOI: https://doi.org/10.1051/aacus/2020020
    • Song Li, Roman Schlieper, and Jürgen Peissig (2019): The Role of Reverberation and Magnitude Spectra of Direct Parts in Contralateral and Ipsilateral Ear Signals on Perceived ExternalizationApplied Sciences Weitere Informationen
      DOI: 10.3390/app9030460
    • Song Li, Roman Schlieper, and Jürgen Peissig (2018): The effect of variation of reverberation parameters in contralateral versus ipsilateral ear signals on perceived externalization of a lateral sound source in a listening roomThe Journal of the Acoustical Society of America (JASA) Weitere Informationen
      DOI: 10.1121/1.5051632

    Konferenzbeiträge

    • Song Li, Aly Tobbala, and Jürgen Peissig (2020): Towards Mobile 3D HRTF Measurement148th Convention of the Audio Engineering Society (Online Virtual Conference) Weitere Informationen
    • Roman Schlieper, Song Li, Stephan Preihs, Jürgen Peissig (2019): The Effect of Active Noise Cancellation on the Acoustic Impedance of Headphones2019 AES International Conference on Headphone Technology, San Francisco, CA, USA Weitere Informationen
    • Song Li, Roman Schlieper, and Jürgen Peissig (2019): Externalization Enhancement for Headphone-Reproduced Virtual Frontal and Rear Sound Images2019 AES International Conference on Headphone Technology, San Francisco, CA, USA Weitere Informationen
    • Song Li, Roman Schlieper, and Jürgen Peissig (2019): A Hybrid Method for Blind Estimation of Frequency Dependent Reverberation Time Using Speech Signals2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Weitere Informationen
      DOI: 10.1109/ICASSP.2019.8682661
    • Song Li, Roman Schlieper, and Jürgen Peissig (2019): The Impact of Head Movement on Perceived Externalization of a Virtual Sound Source with Different BRIR Lengths2019 AES International Conference on Immersive and Interactive Audio, York, UK Weitere Informationen
    • Song Li, Roman Schlieper, Stephan Preihs, and Jürgen Peissig (2019): The Relative Influence of Reverberation at the Contralateral versus Ipsilateral Ear on Perceived Externalization of a Lateral Sound SourceFortschritte der Akustik - DAGA 2019, 45. Jahrestagung für Akustik, Rostock
    • Roman Schlieper, Song Li, Stephan Preihs, Jürgen Peissig (2019): The Relationship between the Acoustic Impedance of Headphones and the Occlusion Effect2019 AES International Conference on Headphone Technology, San Francisco, CA, USA, [Winner of the AES Poster Award] Weitere Informationen
    • Roman Schlieper, Song Li, Stephan Preihs, Jürgen Peissig (2018): Estimation of the Headphone "Openness" Based on Measurements of Pressure Division Ratio, Headphone Selection Criterion, and Acoustic Impedance145th Convention of the Audio Engineering Society Weitere Informationen
    • Robert Hupke, Marcel Nophut, Song Li, Roman Schlieper, Stephan Preihs, and Jürgen Peissig (2018): The Immersive Media Laboratory: Installation of a Novel Multichannel Audio Laboratory for Immersive Media Applications144th Convention of the Audio Engineering Society Weitere Informationen
    • Song Li, Jiaxiang E, Roman Schlieper, and Jürgen Peissig (2018): The Impact of Trajectories of Head and Source Movements on Perceived Externalization of a Frontal Sound Source144th Convention of the Audio Engineering Society Weitere Informationen
    • Roman Schlieper, Song Li, and Jürgen Peissig (2018): Development and Validation of a Full Range Acoustic Impedance Tube144th Convention of the Audio Engineering Society Weitere Informationen
    • Camilo Klinkert Correa, Song Li and Jürgen Peissig (2017): Analysis and Comparison of different Adaptive Filtering Algorithms for Fast Continuous HRTF MeasurementFortschritte der Akustik – DAGA Kiel, 2017. | Datei |
    • Song Li and Jürgen Peissig (2017): Fast Estimation of 2D Individual HRTFs with Arbitrary Head Movements22nd International Conference on Digital Signal Processing (DSP), London, 2017
      DOI: 10.1109/ICDSP.2017.8096086
    • Ruben Braun, Song Li and Jürgen Peissig (2017): A Measurement System for Fast Estimation of 2D Individual HRTFs with Arbitrary Head MovementsInternational Conference on Spatial Audio, Graz, 2017 Weitere Informationen
      ISBN: 978-3-9812830-8-2
    • Song Li, Sanam Moghaddamnia and Jürgen Peissig (2016): Impact of Doppler Effect, Echo and Reverberation on the Externalization and Plausibility of Binaural Rendered Moving Sound Sources Presented via HeadphonesFortschritte der Akustik – DAGA Aachen, 2016.

    Patent

    • Liyun Pang, Fons Adriaensen, Song Li, Roman Schlieper (2020): Device and Method for Adaptation of Virtual 3D Audio to a Real RoomWO Patent WO2020057727A1 Weitere Informationen
    • Liyun Pang, Fons Adriaensen, Roman Schlieper, Song Li (2020): Method and apparatus for processing an audio signal based on equalization filterWO Patent WO2020164746A1 Weitere Informationen
    • Liyun Pang, Fons Adriaensen, Roman Schlieper, Song Li (2020): System and method for evaluating an acoustic characteristic of an electronic device, WO2020177845A1 Weitere Informationen
    • Liyun Pang, Fons Adriaensen, Song Li, Roman Schlieper (2020): Method and apparatus for processing a stereo signal, WO2020151837A1 Weitere Informationen

    Diplom-/Masterarbeiten

    • Jianghui Xu (2019): Individualisierung und Berechnung der HRTF aus zweidimensionalen Fotos, MA, ÜT (Betreuer: Song Li)
    • Mengsha Liu (2019): Evaluation of various neural network features for binaural localization of a sound source, MA, ÜT (Betreuer: Song Li)
    • Yuxing Wang (2019): Performance Control of Active Noise Cancelling Headphones, MA, ÜT (Betreuer: Song Li)
    • JiaXiang E (2018): Impact of Virtual Sound Source Movements on the Perceived Externalization for 3D Audio Reproduction over Headphones, MA, ÜT (Betreuer: Song Li)
    • Michael Göken (2018): Objective and Subjective Evaluation of a Fast 2D HRTF Measurement System, MA, ÜT (Betreuer: Song Li)
    • Camilo Klinkert Correa (2017): Analyse und Optimierung eines kontinuierlichen HRTF-Messverfahrens anhand verschiedener Adaptiver Filter Algorithmen, MA, ÜT (Betreuer: Song Li)
    • Ruben Braun (2017): Konzeption und Implementierung eines Messverfahrens zur schnellen Bestimmung 2-dimensionaler individueller HRTFs mittels adaptiver Filteralgorithmen, MA, ÜT (Betreuer: Song Li)
    • Janna Wiechens (2017): Untersuchung von 3D-Audio Upmix-Verfahren im Hinblick auf Kopfhörerwiedergabe, externe MA, ÜT (Betreuer: Song Li)

    Studien-/Bachelorarbeiten

    • Aly Tobbala (2019): Implementation of a Fast HRTF Measurement System with AR-Headset, BA, ÜT (Betreuer: Song Li)
    • Boyang Wu (2019): Untersuchung und Evaluation verschiedener Messverfahren zur Bestimmung der Nachhallzeit, BA, ÜT (Betreuer: Song Li)

    Sonstiges

    • Lun Chen (2018): Evaluation of Machine Learning Algorithms for HRTF Individualization, Projektarbeit, ÜT (Betreuer: Song Li, Nils Poschadel)
  • Forschungsprojekte

    • EnBinExt
      Enhanced Binaural Externalization
      Leitung: Prof. Dr. Jürgen Peissig
      Team: Song Li, M.Sc., Roman Schlieper, M.Sc.
      Jahr: 2018
      Förderung: Huawei Innovation Research Program FLAGSHIP (HIRP FLAGSHIP)
      Laufzeit: 11/2016 - 11/2018