Analysis of distortion in audio signals introduced by microphone motion

Analysis of distortion in audio signals introduced by microphone motion. Tourbabin, V. & Rafaely, B. In 2016 24th European Signal Processing Conference (EUSIPCO), pages 998-1002, Aug, 2016.

Paper doi abstract bibtex

Signals recorded by microphones form the basis for a wide range of audio signal processing systems. In some applications, such as humanoid robots, the microphones may be moving while recording the audio signals. A common practice is to assume that the microphone is stationary within a short time frame. Although this assumption may be reasonable under some conditions, there is currently no theoretical framework that predicts the level of signal distortion due to motion as a function of system parameters. This paper presents such a framework, for linear and circular microphone motion, providing upper bounds on the motion-induced distortion, and showing that the dependence of this upper bound on motion speed, signal frequency, and time-frame duration, is linear. A simulation study of a humanoid robot rotating its head while recording a speech signal validates the theoretical results.

@InProceedings{7760398,
  author = {V. Tourbabin and B. Rafaely},
  booktitle = {2016 24th European Signal Processing Conference (EUSIPCO)},
  title = {Analysis of distortion in audio signals introduced by microphone motion},
  year = {2016},
  pages = {998-1002},
  abstract = {Signals recorded by microphones form the basis for a wide range of audio signal processing systems. In some applications, such as humanoid robots, the microphones may be moving while recording the audio signals. A common practice is to assume that the microphone is stationary within a short time frame. Although this assumption may be reasonable under some conditions, there is currently no theoretical framework that predicts the level of signal distortion due to motion as a function of system parameters. This paper presents such a framework, for linear and circular microphone motion, providing upper bounds on the motion-induced distortion, and showing that the dependence of this upper bound on motion speed, signal frequency, and time-frame duration, is linear. A simulation study of a humanoid robot rotating its head while recording a speech signal validates the theoretical results.},
  keywords = {audio signal processing;humanoid robots;microphones;speech processing;distortion analysis;audio signal processing systems;humanoid robots;signal distortion;linear microphone motion;circular microphone motion;motion speed;signal frequency;time-frame duration;speech signal;Microphones;Distortion;Sensors;Angular velocity;Time-frequency analysis;Upper bound},
  doi = {10.1109/EUSIPCO.2016.7760398},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2016/papers/1570253476.pdf},
}

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