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[AUDITORY] CFP - Audio and Acoustics of Movement

Dear all,

Please consider submitting your research to our research topic "Audio and Acoustics of Movement" in the Frontiers in Signal Processing.

You can find the Call for Papers in this email (below) or at the following link:

We are looking for original research, but also accept reviews/mini-reviews, brief research reports, and perspectives. To participate, please use the link above or reach out directly.

Important dates:
- Abstract submission: July 9, 2023
- Manuscript submission: November 20, 2023.

Please forward to anyone interested and do not hesitate to reach out if you have any questions.

[Topic Editors]
Thomas Dietzen (KU Leuven)
Ina Kodrasi (Idiap Research Institute)
Ante Jukić (NVIDIA)



While the state of the art in audio signal processing often assumes a spatially stationary environment, we are in practice often confronted with spatially dynamic sound scenes where moving objects emit or receive sound. This may concern movement of human speakers and listeners, moving audio devices in the context of wireless acoustic sensor networks, autonomous vehicles equipped with microphones or loudspeakers such as robots or drones, or noise emitted by moving vehicles as in road or air traffic. In many processing applications, the movement of acoustic sources or receivers poses challenges, while in others it may be explicitly exploited in that it provides additional spatio-temporal cues as an alternative to discrete spatial sampling.

The wide impact of movement on audio signals is expressed in various spatial, temporal, and spectral aspects. When spatial distances vary, propagation delays become channel- and time-dependent. On the one hand, this obviously affects time-differences of arrival in multi-channel audio signals, which are commonly used to obtain a spatial interpretation of the scene. On the other hand, one also observes spectro-temporal effects, such as frequency-shifts in the well-known Doppler effect. Further, in regards to statistical processing, time-dependent time and frequency shifts question the concept of implementing the expectation operator by averaging over time.

With this Research Topic, we promote the development of movement-aware signal and system models and processing algorithms, that is approaches explicitly addressing the time-variant nature of sound propagation paths caused by the relative movement of acoustic sources and receivers, as well as the spectro-temporal and statistical impact thereof. This covers a wide range of problems including spatial estimation, signal enhancement, system identification, room acoustic information retrieval, and signal generation. Further, in order to enable reproducible and comparative research in the context of movement, we promote the development of relevant databases.

Submissions considered relevant to this Research Topic include, but are not limited to, contributions in the following fields:

Dynamic spatial estimation

Signal enhancement under movement

Identification of spatially dynamic systems

Movement-based room acoustic information retrieval

Spatially dynamic signal generation

Acoustic databases involving movement


Abstract Submission Deadline 09 July 2023
Manuscript Submission Deadline 20 November 2023