Speech, Acoustics, Audio Signal Processing and Applications in Sensors

Dear Colleagues,

Over the last decades, speech, acoustic, and audio signal processing have undoubtedly undergone explosive growth with myriad applications, which have become an inevitable part of human life. Additionally, user demand has dramatically increased in a short time and resulted pushed system performance to its limit regarding relevant applications including speech/speaker recognition, source localization, audio event detection, and so forth.

This Special Issue aims to present the development of novel speech/acoustic signal processing methods in which signals are collected either from a specific arrangement of sensors or a fusion of sensors of different types.

One of the simplest extensions will be multi-channel speech/acoustic signal processing methods based on novel neural network architectures specifically designed to fully exploit the spatial information residing in the collection of signals, while others may include various secondary sensors that may help boost the performance of conventional systems built on microphone signals data.

Speech, acoustic, and audio signal processing applications using multiple sensors can now be found in AI speaker, robotics, surveillance camera, automobiles, and many other fields

This Special Issue aims to cover some of the possibilities that multi-microphone or multimodal sensors are combined with, at a high level, i.e., advanced artificial intelligences for audio understanding and detection.

Prof. Dr. Joon-Hyuk Chang
Guest Editor

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