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An Online Audio Indexing System
Type of publication: Idiap-RR
Citation: ajmera-rr-03-39
Number: Idiap-RR-39-2003
Year: 2003
Institution: IDIAP
Note: Accepted for publication in ICSLP 2004
Abstract: This paper presents overview of an online audio indexing system, which creates a searchable index of speech content embedded in digitized audio files. This system is based on our recently proposed offline audio segmentation techniques. As the data arrives continuously, the system first finds boundaries of the acoustically homogenous segments. Next, each of these segments is classified as speech, music or {\it mixture} classes, where mixtures are defined as regions where speech and other non-speech sounds are present simultaneously and noticeably. The speech segments are then clustered together to provide consistent speaker labels. The speech and mixture segments are converted to text via an ASR system. The resulting words are time-stamped together with other metadata information (speaker identity, speech confidence score) in an XML file to rapidly identify and access target segments. In this paper, we analyze the performance at each stage of this audio indexing system and also compare it with the performance of the corresponding offline modules.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Ajmera, Jitendra
McCowan, Iain A.
Bourlard, Hervé
Crossref by ajmera-rr-03-39b
Added by: [UNK]
Total mark: 0
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