audio indexing thesis



A Study Of Audio-based Sports Video. Indexing Techniques. Mark Baillie. Thesis Submitted for the degree of Doctor of Philosophy. Faculty of Information and Mathematical Sciences. University of Glasgow. 2004
Tools for Automatic Audio Indexing ... This project investigates methods for audio segmentation and speech recognition, which can be used for this metadata extraction. Classification models for classifying speech and music are investigated. ... Type, Master's thesis [Academic thesis]. Year, 2006. Publisher, Informatics and
23.07.2015 -
Indexing and retrieval of speech and music is then described separately. Finally, significance of audio in multimedia indexing and retrieval is discussed. Keywords: audio indexing and retrieval, audio classification, multimedia indexing and retrieval, audio features, information retrieval ...... thesis and production. They are not
We have become very accustomed to the ability of automatically searching texts on the inter- net, on our hard disk, in our mailbox or in every file. Finding something back in a collection of audio files is less obvious. Google Audio Indexing offers this functionality to a limited extent. Regularly political speeches on YouTube are
In this thesis we investigate the use of Variational techniques in an audio indexing task in which model selection is a main problem. Audio indexing problems in fact consists in clustering together part of the audio file with the same acoustic characteristic. In particular we consider here the case in which data coming from the
Experi- mental results show that the proposed audio-video based classification method gives an accuracy of 98.72% and 96.21% using SVM and AANN respectively. This thesis also proposes a method for song indexing and retrieval using autoassociative neural networks. The song retrieval system achieves an accuracy of
file. The XML index file is generated using transcriptions obtained by the 3-tier algorithm to which each audio file is fed. The output accuracy is dependent on the training files obtained from the users. The more training length is, the better is the output. In this thesis we present the design and development of the tool; we also
Audio indexing thesis keyport. « Previous Post · Next Post ». Featured Posts. Weekly Digest. Email Address*. First Name. Last Name. * = required field. Return to top of page. © 2017 Audio indexing thesis keyport.
purpose of this thesis is to utilize the spoken text of a lecture video to assign index points using an underlying text-based indexing ...... This thesis proposes the development of a text-based indexing system from the audio content of a video lecture that contains significant information. The captions or text collected for this

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