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Advances in Audio Signal Processing for Robots and Drones

  1. Drone-embedded sound source localization (SSL) has interesting application perspective in challenging search and rescue scenarios due to bad lighting conditions or occlusions. However, the problem gets complic...

    Authors: Alif Bin Abdul Qayyum, K. M. Naimul Hassan, Adrita Anika, Md. Farhan Shadiq, Md Mushfiqur Rahman, Md. Tariqul Islam, Sheikh Asif Imran, Shahruk Hossain and Mohammad Ariful Haque
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:16
    Content type: Research Published on:

  2. Humanoid robots require to use microphone arrays to acquire speech signals from the human communication partner while suppressing noise, reverberation, and interferences. Unlike many other applications, microp...

    Authors: Gongping Huang, Jingdong Chen, Jacob Benesty, Israel Cohen and Xudong Zhao
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:15
    Content type: Research Published on:

  3. A method to locate sound sources using an audio recording system mounted on an unmanned aerial vehicle (UAV) is proposed. The method introduces extension algorithms to apply on top of a baseline approach, whic...

    Authors: Benjamin Yen and Yusuke Hioka
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:13
    Content type: Research Published on:

  4. Estimation problems like room geometry estimation and localization of acoustic reflectors are of great interest and importance in robot and drone audition. Several methods for tackling these problems exist, bu...

    Authors: Usama Saqib, Sharon Gannot and Jesper Rindom Jensen
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:12
    Content type: Research Published on:

  5. Ego-noise, i.e., the noise a robot causes by its own motions, significantly corrupts the microphone signal and severely impairs the robot’s capability to interact seamlessly with its environment. Therefore, su...

    Authors: Alexander Schmidt, Andreas Brendel, Thomas Haubner and Walter Kellermann
    Citation: EURASIP Journal on Audio, Speech, and Music Processing 2020 2020:11
    Content type: Research Published on: