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Optimized Audio Classification and Segmentation Algorithm ...
https://www.hindawi.com/journals/mpe/2015/209814/#:~:text=An%20optimized%20audio%20classification%20and%20segmentation%20algorithm%20is,audio%20types%3A%20pure-speech%2C%20music%2C%20environment%20sound%2C%20and%20silence.
On classification and segmentation of massive audio data ...
https://link.springer.com/article/10.1007/s10115-008-0174-y
Aggarwal CC (2007) A framework for classification and segmentation of massive audio data streams. ACM KDD Conference, pp 1013–1017. 2. Aggarwal C, Han J, Wang J, Yu P (2003a) A framework for clustering evolving data streams. VLDB Conference, pp 81–92. 3. Aggarwal C (2003b) A framework for diagnosing changes in evolving data streams.
On classification and segmentation of massive audio …
https://www.researchgate.net/publication/225757719_On_classification_and_segmentation_of_massive_audio_data_streams
Request PDF | On classification and segmentation of massive audio data streams | In recent years, the proliferation of VOIP data has created a number of applications in which it …
A Framework for Classification and Segmentation of …
http://www.charuaggarwal.net/sip225-aggarwal.pdf
segmentation may need to be done in an unsupervised way, since example segments of the different speakers may not be known in advance. In order to design a system which can work with such challenges, we construct a number of techniques which are designed towards stream based online processing of massive amounts of audio data. We adapt our
A framework for classification and segmentation of …
https://www.researchgate.net/publication/221653807_A_framework_for_classification_and_segmentation_of_massive_audio_data_streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to per- form quick online classification and recognition of massive voice streams.
A Framework for Classification and Segmentation of …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.7254
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voice streams. Typically such applications are encountered in real time intelligence and surveillance.
A Robust Audio Classification and Segmentation …
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-2001-79.pdf
Audio content analysis, audio classification and segmentation 1. INTRODUCTION Rapid increase in the amount of audio data demands for an efficient method to automatically segment or classify audio stream based on its content. Such a method is helpful not only in audio retrieval [1][2], but also in video structure extraction.
Framework for Classification and Segmentation of …
http://videolectures.net/kdd07_aggarwal_ffc/
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voice streams. Typically such applications are encountered in real time intelligence and surveillance. In many cases, the data streams can be in compressed format, and the rate of data processing …
Audio Segmentation and Classification
http://www2.imm.dtu.dk/pubdb/edoc/imm3851.pdf
Audio segmentation and classification have applications in wide areas. For instance, content based audio classification and retrieval is broadly used in the entertainment industry, audio archive management, commercial music usage, surveillance, etc. There are many digital audio databases on the World Wide Web nowadays; here audio
Optimized Audio Classification and Segmentation …
https://www.hindawi.com/journals/mpe/2015/209814/
Audio stream is classified, firstly, into speech and nonspeech segment by using bagged support vector machines; nonspeech segment is further classified into music and environment sound by using artificial neural networks and lastly, speech segment is classified into silence and pure-speech segments on the basis of rule-based classifier.
Multinovel Class Detection in the Data Stream ...
https://research.ijcaonline.org/volume119/number19/pxc3903950.pdf
Classification for Concept- Drifting Data Streams,” Proc. European Conf. Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 79-94, 2009. [3] Charu C. Aggarwal “A Framework for Classification and Segmentation of Massive Audio Data Streams” [4] J. Kolter and M. Maloof, “Using Additive Expert
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