ScholarIQanswers from OpenAlex
Music and Audio Processing
TopicLeading institutions, researchers & key papers
Music and Audio Processing is a topic indexed in ScholarIQ from OpenAlex.
What is known about Music and Audio Processing?
ScholarIQrecord summary
This cluster of papers focuses on the classification and analysis of audio signals, including music genre classification, environmental sound recognition, melody extraction, and acoustic scene classification. It explores techniques such as deep learning, convolutional neural networks, and feature extraction for music information retrieval.
How many works does Music and Audio Processing have?
ScholarIQindexed works
Music and Audio Processing has 89 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Music and Audio Processing?
ScholarIQopenalex
The OpenAlex for Music and Audio Processing is on the source record.
What are the most-cited papers on Music and Audio Processing?
ScholarIQmost cited works
SoundSense
Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell
Very deep convolutional neural networks for raw waveforms
Wei Dai, Chia Dai, Shuhui Qu, Juncheng Li, Samarjit Das
Musical genre classification using support vector machines
Changsheng Xu, Namunu C. Maddage, Xi Shao, Fang Cao, Qi Tian
A comparison of Deep Learning methods for environmental sound detection
Juncheng Li, Wei Dai, Florian Metze, Shuhui Qu, Samarjit Das
Speaker Gender Recognition Based on Deep Neural Networks and ResNet50
Abeer Ali Alnuaim, Mohammed Zakariah, Chitra Shashidhar, Wesam Atef Hatamleh, Hussam Tarazi, Prashant Kumar Shukla, Rajnish Ratna
Where is Music and Audio Processing research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Music and Audio Processing is open access?
ScholarIQopen access share
20%OPEN ACCESS