New Advances in Audio Signal Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 19486
Special Issue Editors
Interests: machine learning; deep learning; speech processing; speech emotion recognition; automatic speech diagnosis systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent increases in computational power have heavily impacted the field of data analysis and processing, especially with the diffusion of artificial intelligence (AI) and deep learning. Audio signals have always carried a huge amount of information and have thus received a great boost in terms of processing and inference options. This is reflected in the fast improvements to classically difficult tasks such as speech recognition and sound classification, while opening up entirely new fields of machine learning-empowered audio analysis, such as affective computing.
Therefore, many of the new perspectives in audio signal processing involve the design and use of AI techniques that use audio as an input, such as classification/recognition tasks, or that are aimed at the enhancement of audio signals, such as algorithmic denoising or equalization. More generally, however, automation is the key aspect for the current business and academic fields involving signals-as-data. Therefore, fast, automatic solutions to the parsing, segmentation, labelling, and processing of audio data have to be considered a vivid topic. Additionally, despite the data-driven nature of AI, domain-specific knowledge allows for the enhancement of any solution, which leads to signal processing being instrumental in phases such as data augmentation or preparation.
Nevertheless, “classical” signal processing approaches based on new or partially unexplored domains or techniques are obviously also a valuable topic when taking into account the heavy use of acoustic features in many fields, including AI.
Prof. Dr. Giovanni Costantini
Dr. Daniele Casali
Guest Editors
(Dr. Valerio Cesarini will assist us in organizing this Special Issue)
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Keywords
- audio signal processing
- audio analysis
- audio classification
- speech recognition
- machine learning
- artificial intelligence
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