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Hierarchical classification of audio data for archiving ...
https://dl.acm.org/doi/10.1109/ICASSP.1999.757472
In the third stage, the query-by-example audio retrieval is implemented where similar sounds can be found according to an input sample audio. It is shown that the proposed system has achieved an accuracy higher than 90% for coarse-level audio classification. Examples of audio fine classification and audio retrieval are also provided.
Hierarchical System for Content-based Audio …
https://www.researchgate.net/publication/2424500_Hierarchical_System_for_Content-based_Audio_Classification_and_Retrieval
Hierarchical classification of audio data for archiving and retrieving January 1999 · Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing Tong Zhang
ICASSP-99 -> Technical Program -> Technical Sessions
http://icassp99.asu.edu/technical/sessions/abstracts-MMSP-01.html
Hierarchical Classification of Audio Data for Archiving and Retrieving Tong Zhang, C.-C. Jay Kuo (Integrated Media Systems Center and Department of Electrical Engineering-Systems, University of Southern California) vol. 6, pp. 3001-3004
Hierarchical audio classification using cepstral ...
https://www.researchgate.net/publication/224246154_Hierarchical_audio_classification_using_cepstral_modulation_ratio_regressions_based_on_Legendre_polynomials
Different types of audio features were introduced and evaluated in various classification experiments, e.g., for clean speech, speech in noise, noise and music classification [10,11,5, 12], or ...
SVM-Based Audio Classification for Content- Based ...
https://link.springer.com/chapter/10.1007/978-3-540-73417-8_56
Abstract. Audio classification is very important in multimedia retrieval such as audio indexing, analysis and content-based video retrieval. 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 …
GitHub - beerzyp/ECAC-Chain-Fusion
https://github.com/beerzyp/ECAC-Chain-Fusion
Hierarchical classification of audio data for archiving and retrieving. Audio Classification Method Based on Machine Learning. AUDIO FEATURE EXTRACTION AND ANALYSIS FORSCENE SEGMENTATION AND CLASSIFICATION. Convolutional recurrent neural networks for music classification. Speech Recognition (FESR): Paper: Recent Advances in the …
File Classification Schemes | Archives and Records ...
https://archives.un.org/content/file-classification-schemes
A file classification scheme (also known as a file plan) is a tool that allows for classifying, titling, accessing and retrieving records. It's presented as a hierarchical structure of...
Toward hierarchical classification of imbalanced data ...
https://www.sciencedirect.com/science/article/pii/S0020025521007234
According to Silla Jr. and Freitas (2011) , a hierarchical classification problem can be described as a three-tuple (ϒ, Ψ, Φ), where. ϒ specifies the type of representation of the labels hierarchy: direct acyclic graph (DAG) or tree;. Ψ indicates whether a sample may be associated with a single or multiple paths in the class hierarchy; and. Φ describes the label depth of the …
A NEW APPROACH FOR AUDIO CLASSIFICATION AND …
https://www.worldscientific.com/doi/abs/10.1142/S0218001405004289
This method will first divide an audio stream into clips, each of which contains one-second audio information. Then, each clip is classified as one of two classes or five classes. Two classes contain speech and music; pure speech, pure music, song, speech with music background, and speech with environmental noise background are for five classes.
Audio segmentation of broadcast news in the Albayzin …
https://asmp-eurasipjournals.springeropen.com/articles/10.1186/1687-4722-2011-1
An hierarchical organization of binary HMM detectors is used. First, audio is segmented into "Music"/"non-Music" portions. Second, the "non-Music" portions are further segmented into "Speech over music"/"non-Speech over music" portions. Finally, the "non-Speech over music" portions are segmented into "Speech"/"Speech over noise." System 2
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