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Features for Content-Based Audio Retrieval - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0065245810780037#:~:text=3.1.%20Properties%20of%20Audio%20Features%20%20%20,%20Perceptual%2C%20physical%20%201%20more%20rows%20
Features for Content-Based Audio Retrieval
https://publik.tuwien.ac.at/files/PubDat_186351.pdf
There are different fields of research in content-based audio retrieval, such as segmentation, automatic speech recognition, music information retrieval, and environmental sound retrieval which we list in the following.
Features for Content-Based Audio Retrieval - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0065245810780037
Features for Content-Based Audio Retrieval - ScienceDirect
https://www.sciencedirect.com/science/article/abs/pii/S0065245810780037
Today, a large number of audio features exists in audio retrieval for different purposes, such as automatic speech recognition, music information retrieval, audio segmentation, and environmental sound retrieval. The goal of this chapter is to review latest research in the context of audio feature extraction and to give an application-independent overview of the most …
[PDF] Features for Content-Based Audio Retrieval ...
https://www.semanticscholar.org/paper/Features-for-Content-Based-Audio-Retrieval-Mitrovic-Zeppelzauer/382dba7d6c645d55ebe9ef6735d502521f3b33dc
Abstract Today, a large number of audio features exists in audio retrieval for different purposes, such as automatic speech recognition, music information retrieval, audio segmentation, and environmental sound retrieval. [...] Key Method. Additionally, we identify the building blocks of audio features and propose a scheme that allows for the description of arbitrary features.
(PDF) Features for Content-Based Audio Retrieval.
https://www.researchgate.net/publication/220662548_Features_for_Content-Based_Audio_Retrieval
Today, a large number of audio features exists in audio retrieval for different purposes, such as automatic speech recognition, music information retrieval, audio segmentation, and environmental...
Content-Based Audio Retrieval | SpringerLink
https://link.springer.com/chapter/10.1007/978-3-319-21945-5_7
M. M üller, F. K urth, and M. C lausen, Audio matching via chroma-based statistical features, in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2005, pp. 288–295. Google Scholar
Evolutionary feature synthesis for content-based audio ...
https://www.academia.edu/69865014/Evolutionary_feature_synthesis_for_content_based_audio_retrieval
Evolutionary feature synthesis for content-based audio retrieval. Evolutionary Feature Synthesis for Content-Based Audio Retrieval Serkan Kiranyaz, Jenni Raitoharju, and Moncef Gabbouj, Fellow, IEEE Department of Signal Processing, Tampere University of Technology, P.O. Box 553, Tampere, FINLAND Email: [email protected] popular among many other feature …
Content-Based Audio Classification and Retrieval …
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/content_audio_classification.pdf
In this paper, a support vector machines (SVMs) based method is proposed for content-based audio classification and retrieval. Given a feature set, which in this work is composed of perceptual and cepstral feature, optimal class boundaries between classes are learned from training data by using SVMs. Matchesare rankedby usingdistances from boundaries.
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