Get started
Keyword

audio features

Description: Characteristics of audio signals or recordings used to describe, analyze, classify, or interpret sound and media content.
OpenAlex ID: keywords/audio-features
Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
2020 · Longlong Jing, Yingli Tian · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2,033
PDF
ESC
2015 · Karol J. Piczak · ACM International Conference on Multimedia (ACM MM) · 1,403
Information Retrieval for Music and Motion
2007 · Meinard Müller · Springer eBooks · 1,320
Deep content-based music recommendation
2013 · Aäron van den Oord, Sander Dieleman, et al. · Ghent University Academic Bibliography (Ghent University) · 952
PDF
The Million Song Dataset
2011 · Bertin-Mahieux, Thierry, Ellis, Daniel P. W., et al. · 946
A Survey of Audio-Based Music Classification and Annotation
2010 · Zhouyu Fu, Guojun Lu, et al. · IEEE Transactions on Multimedia · 436
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms
2017 · Aharon Satt, Shai Rozenberg, et al. · Interspeech (USB) · 422
Audio content analysis for online audiovisual data segmentation and classification
2001 · T. Zhang, C.-C.Jay Kuo · IEEE Transactions on Speech and Audio Processing · 415
Multimedia content analysis-using both audio and visual clues
2000 · Yao Wang, Zhu Liu, et al. · IEEE Signal Processing Magazine · 409
YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
2013 · Martin Wollmer, Felix Weninger, et al. · IEEE Intelligent Systems · 404
Attention-Based Multimodal Fusion for Video Description
2017 · Chiori Hori, Takaaki Hori, et al. · IEEE International Conference on Computer Vision (ICCV) · 398
PDF
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization
2018 · Korbar, Bruno, Tran, Du, et al. · arXiv (Cornell University) · 355
PDF
Scream and gunshot detection and localization for audio-surveillance systems
2007 · G. Valenzise, L. Gerosa, et al. · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · 354
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
2016 · Zadeh, Amir, Zellers, Rowan, et al. · arXiv (Cornell University) · 349
PDF
Features For Audio And Music Classification.
2003 · McKinney, Martin F., Breebaart, Jeroen · 307
LIRIS-ACCEDE: A Video Database for Affective Content Analysis
2015 · Yoann Baveye, Emmanuel Dellandrea, et al. · IEEE Transactions on Affective Computing · 306
Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep
2013 · Amir Muaremi, Bert Arnrich, et al. · BioNanoScience · 302
PDF
Automatic Video Classification: A Survey of the Literature
2008 · D. Brezeale, D.J. Cook · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 298
AVEC 2011–The First International Audio/Visual Emotion Challenge
2011 · Björn Schuller, Michel Valstar, et al. · Lecture notes in computer science · 271
Learning Features From Music Audio With Deep Belief Networks.
2010 · Hamel, Philippe, Eck, Douglas · Zenodo (CERN European Organization for Nuclear Research) · 263
Classification of general audio data for content-based retrieval
2001 · Dongge Li, Ishwar K. Sethi, et al. · Pattern Recognition Letters · 252
Developing a benchmark for emotional analysis of music
2017 · Anna Aljanaki, Yi-Hsuan Yang, et al. · PLoS ONE · 248
PDF
Audio Surveillance
2016 · Marco Crocco, Marco Cristani, et al. · ACM Computing Surveys · 245
Content-based audio classification and segmentation by using support vector machines
2003 · Lie Lu, Hong-Jiang Zhang, et al. · Multimedia Systems · 242
FMA: A Dataset For Music Analysis
2016 · Defferrard, Michaël, Benzi, Kirell, et al. · arXiv (Cornell University) · 237
PDF
Works count: 4,068
Citation count: 43,620
Year
Topic
Type