Subject: [ISMIR-Community] Deadline extension: Special Issue "Machine learning From: "Lerch, Alexander G" <alexander.lerch@xxxxxxxx> Date: Thu, 4 Mar 2021 02:18:38 +0000[apologies for cross posting] Dear all, We updated the deadline for our special issue on "Machine learning Applied = to Music/Audio Signal Processing" is now Aug 31, 2021, please see the detai= ls of the call below. Note that the new date is just the final submission d= eadline - all submissions will be published immediately after acceptance. We look forward to your contributions! Alexander Lerch Peter Knees https://www.mdpi.com/journal/electronics/special_issues/music_audio_signal The applications of audio and music processing range from music discovery a= nd recommendation systems over speech enhancement, audio event detection, a= nd music transcription, to creative applications such as sound synthesis an= d morphing. The last decade has seen a paradigm shift from expert-designed algorithms t= o data-driven approaches. Machine learning approaches, and Deep Neural Netw= orks specifically, have been shown to outperform traditional approaches on = a large variety of tasks including audio classification, source separation,= enhancement, and content analysis. With data-driven approaches, however, c= ame a set of new challenges. Two of these challenges are training data and = interpretability. As supervised machine learning approaches increase in com= plexity, the increasing need for more annotated training data can often not= be matched with available data. The lack of understanding of how data are = modeled by neural networks can lead to unexpected results and open vulnerab= ilities for adversarial attacks. The main aim of this Special Issue is to seek high-quality submissions that= present novel data-driven methods for audio/music signal processing and an= alysis and address main challenges of applying machine learning to audio si= gnals. Within the general area of audio and music information retrieval as = well as audio and music processing, the topics of interest include, but are= not limited to, the following: - unsupervised and semi-supervised systems for audio/music processing a= nd analysis - machine learning methods for raw audio signal analysis and transforma= tion - approaches to understanding and controlling the behavior of audio pro= cessing systems such as visualization, auralization, or regularization meth= ods - generative systems for sound synthesis and transformation - adversarial attacks and the identification of 'deepfakes' in audio an= d music - audio and music style transfer methods - audio recording and music production parameter estimation - data collection methods, active learning, and interactive machine lea= rning for data-driven approaches --=20 Open-access journal Transactions of ISMIR, open for submissions: https://ti= smir.ismir.net --- ISMIR 2021 will take place online, November 8-12, 2021 ISMIR 2022 will take place in Bangalore, India ISMIR Home -- http://www.ismir.net/ --- Please note! This list is lightly moderated, any email sent from a non-memb= er address will be queued until it can be reviewed by a human. Be sure to j= oin before posting! ---=20 You received this message because you are subscribed to the Google Groups "= Community Announcements" group. To unsubscribe from this group and stop receiving emails from it, send an e= mail to community+unsubscribe@xxxxxxxx To view this discussion on the web visit https://groups.google.com/a/ismir.= net/d/msgid/community/BY5PR07MB6514E2D28C05210D02FF396F8E979%40BY5PR07MB651= 4.namprd07.prod.outlook.com.