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SVM-based audio scene classification | IEEE Conference ...
https://ieeexplore.ieee.org/document/1598721/#:~:text=Audio%20scene%20classification%20is%20very%20important%20in%20audio,speech%2C%20non-pure%20speech%2C%20music%2C%20environment%20sound%2C%20and%20silence.
SVM-based audio scene classification | IEEE Conference ...
https://ieeexplore.ieee.org/document/1598721/
SVM-based audio scene classification Abstract: Audio scene classification is very important in audio indexing, retrieval and video content analysis. In this paper we present our approach that uses support vector machine (SVM) for audio scene classification, which classifies audio clips into one of five classes: pure speech, non-pure speech, music, environment sound, …
SVM-based audio scene classification | Request PDF
https://www.researchgate.net/publication/4224997_SVM-based_audio_scene_classification
An approach given in [9] uses support vector machine (SVM) for audio scene classification, it classifies audio clips into one of five classes: pure speech, …
Content-Based Audio Classification and Retrieval …
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/content_audio_classification.pdf
Content-Based Audio Classification and Retrieval Using SVM Learning Stan Z. Li GuoDong Guo Microsoft Research China, 5/F Beijing Sigma Center, Beijing 100080, China [email protected] Abstract In this paper, a support vector machines (SVMs) based method is proposed for content-based audio classification and retrieval.
SVM-Based Audio Classification for Content- Based ...
https://link.springer.com/chapter/10.1007/978-3-540-73417-8_56
In this paper, we have proposed a clip-based support vector machine (SVM) approach to classify audio signals into six classes, which are pure speech, music, silence, environmental sound, speech with music and speech with environmental sound.
A SVM-Based Classification Approach to Musical Audio
https://jscholarship.library.jhu.edu/bitstream/handle/1774.2/43/paper.pdf?sequence=1
classification approach based on support vector machines (SVM). Based on the proposed method, the music is classified into coursed classes such as vocal, instrumental or vocal mixed with instrumental music. These main classes are further sub-classed according to gender and instrument type. A novel method,
Audio-Video based Classification using SVM and AANN
https://research.ijcaonline.org/volume44/number6/pxc3878425.pdf
machine (SVM) for audio scene classification, which classifies audio clips into one of five classes: pure speech, non pure speech, music, environment sound, and silence.
Classification of audio signals using SVM and RBFNN ...
https://www.sciencedirect.com/science/article/pii/S0957417408004004
An approach given in Jiang, Bai, Zhang, and Xu (2005), uses support vector machine (SVM) for audio scene classification, which classifies audio clips into one of five classes: pure speech, non-pure speech, music, environment sound, and silence.
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