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A technique towards automatic audio classification and ...
https://ieeexplore.ieee.org/document/770818/
A technique towards automatic audio classification and retrieval Abstract: Audio classification is very important in many audio applications so that different audio signals can be processed appropriately. We propose an audio classification scheme which will categorise audio signals based on a number of audio features.
A Technique towards Automatic Audio Classification and ...
http://www.eecs.qmul.ac.uk/legacy/easaier/files/technical/segmentation/luicsp98.pdf
classification and retrieval of digital audio has just started. There are currently very few publications and comprehensive techniques proposed for audio classification and retrieval, except in the area of speech recognition. This is partly due to the difficulty involved in describing, classifying and comparing non-speech audio.
Features for Audio Classification | SpringerLink
https://link.springer.com/chapter/10.1007%2F978-94-017-0703-9_6
A technique towards automatic audio classification and retrieval. In 4th Int. Conference on Signal Processing, Beijing. Google Scholar Naphade, M.R., and T.S. Huang [ 2000a ]. A probabilistic framework for semantic indexing and retrieval in video. In IEEE International Conference on Multimedia and Expo (I), pages 475–78. Google Scholar
(PDF) Content-Based Classification and Retrieval of Audio
https://www.researchgate.net/publication/2425038_Content-Based_Classification_and_Retrieval_of_Audio
As a result, automatic classification and retrieval of audio data has become an active area of research. A lot of work have been directed towards the …
(PDF) Content-based audio classification and retrieval ...
https://www.academia.edu/4533099/Content-based_audio_classification_and_retrieval_using_a_fuzzy_logic_system_towards_multimedia_search_engines
In spite of different techniques applied in the audio Keywords Fuzzy logic, Audio classification, Audio classification and retrieval process, the underlying proce- retrieval, Feature extraction, Query-by-example dure is the same, which can be divided into three major 1 steps, audio feature extraction, classifier mapping, and Introduction distance ranking.
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