Environmental Audio Tagging: Trends and Techniques
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-62 Number-1 |
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| Year of Publication : 2018 | ||
| Authors : Dr. Jayasudha.J.S, Mrs.Sangeetha.M.S | ||
| DOI : 10.14445/22312803/IJCTT-V62P101 |
MLA Style: Dr. Jayasudha.J.S, Mrs.Sangeetha.M.S "Environmental Audio Tagging: Trends and Techniques" International Journal of Computer Trends and Technology 62.1 (2018): 1-13.
APA Style:Dr. Jayasudha.J.S, Mrs.Sangeetha.M.S (2018). Environmental Audio Tagging: Trends and Techniques. International Journal of Computer Trends and Technology, 62(1), 1-13.
Abstract
Real life environment consists of various kinds of sounds other than speech and music. All these sounds carry information about our everyday environment and have its own features. In order to categorize different kinds of sounds and to study them separately, tagging is introduced into the area of sound analysis. Environmental audio tagging predicts the presence or absence of certain acoustic events in the interested acoustic scene. Audio tagging forms the backbone of sound recognition and classification work. This work on audio tagging consists of extracting relevant features from input audio and of using those features to identify a set of classes into which the sound is most likely to fit. Existing works for this task largely uses conventional classifiers which do not have the feature abstraction found in deeper models. A deep learning framework is used here for unsupervised feature learning and classification.
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Keywords
deep learning, environmental audio tagging, unsupervised feature learning, multilabel classification.