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Text-Like Segmentation of General Audio for Content …
https://www.researchgate.net/publication/224436859_Text-Like_Segmentation_of_General_Audio_for_Content-Based_Retrieval
Download Citation | Text-Like Segmentation of General Audio for Content-Based Retrieval | Automatic detection of (semantically) meaningful audio segments, or audio scenes , is an important step in ...
Text-like segmentation of general audio for content based ...
https://research.tudelft.nl/en/publications/text-like-segmentation-of-general-audio-for-content-based-retriev
Text-like segmentation of general audio for content based retrieval. / Lu, L; Hanjalic, A. In: IEEE Transactions on Multimedia, Vol. 11, No. 2, 2009. Research output: Contribution to journal › Article › Scientific › peer-review
Text-Like Segmentation of General Audio for Content-Based ...
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004895314
Automatic detection of (semantically) meaningful audio segments, oraudioscenes, is an important step in high-level semantic inference from general audio signals, and can benefit various content-based applications involving both audio and multimodal (multimedia) data sets.
A TEXT RETRIEVAL APPROACH TO CONTENT-BASED AUDIO …
http://www.ideal.ece.utexas.edu/pdfs/164.pdf
based on methods for text retrieval performs well for the desired applications, and benefits from established research results in the area. Section 2 reviews existing work related to our application and section 3 details our application of the text retrieval …
Content-Based Audio Classification and Retrieval Using ...
https://link.springer.com/chapter/10.1007/978-981-13-6861-5_23
This paper proposes a machine learning- and neural network-based approach which performs audio pre-processing, segmentation, feature extraction, classification and retrieval of audio signal from the dataset. We have proposed novel approach of classification and retrieval using FPNN by combining fuzzy logic and PNN characteristics.
Classification of general audio data for content-based ...
https://www.sciencedirect.com/science/article/pii/S0167865500001197
Abstract. In this paper, we address the problem of classification of continuous general audio data (GAD) for content-based retrieval, and describe a scheme that is able to classify audio segments into seven categories consisting of silence, single speaker speech, music, environmental noise, multiple speakers' speech, simultaneous speech and music, and …
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