A hierarchical system for audio classi cation and retrieval based on audio content analysis is presented in this paper. The system consists of three stages. The rst stage is called the coarse-level audio classi cation and segmentation, where audio recordings are classi ed and segmented into speech, music, several types of environmental sounds, and silence, based on morphological and statistical...

The Kutch Earthquake of January 26, 2001 in Gujarat, India, caused the destruction of a large number of modern 4 to 10-storied buildings. After this earthquake, doubts arose about our professional practices, building by-laws, construction materials, building codes and education for civil engineers and architects. It led to large number of short-term courses and workshops, revision of the seismi...

In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngrambased phonetic index and we analyze factors affecting the performance of these systems. We show that the...

This working paper provides the basic information about experiments conducted on audio documents within the MediaEval 2012 spoken web search evaluation project. The main purpose of these experiments was to build a robust and language independent system for spoken term detection. Therefore we have proposed query-by-example searching system based on the minimum-cost alignment of DTW algorithm and...

Multimedia, as it stands now is perhaps the most diverse and rich culture around the globe. One of the major needs of Multimedia is to have a single system that enables people to efficiently search through their multimedia catalogues. Many Domain Specific Systems and architectures have been proposed but up till now no generic and complete architecture is proposed. In this paper, we have suggest...

In this paper, we attempt to solve the Spoken Term Detection (STD) problem for under-resourced languages by a phone recognition approach within the Automatic Speech Recognition (ASR) paradigm, with multilingual acoustic models from six languages (Albanian, Czech, English, Hungarian, Romanian and Russian). The Power Normalized Cepstral Coefficients (PNCC) features are used for improved robustnes...

Large financial institutions such as Bank of America handle hundreds of thousands of wire transactions per day. Although most transactions are legitimate, these institutions have legal and financial obligations in discovering those that are suspicious. With the methods of fraudulent activities ever changing, searching on predefined patterns is often insufficient in detecting previously undiscov...

Two approaches to QbE (Query-by-Example) retrieving system, proposed by the Technical University of Košice (TUKE) for the query by example search on speech task (QUESST), are presented in this paper. Our main interest was focused on building such QbE system, which is able to retrieve all given queries with and without using any external speech resources. Therefore we developed posteriorgram-bas...

In this paper, we describe the “Query by Example Search on Speech Task” (QUESST), held as part of the MediaEval 2015 evaluation campaign. As in previous years, the proposed task requires performing language-independent audio search in a low resource scenario. This year, the task has been designed to get as close as possible to a practical use case scenario, in which a user would like to retriev...

As part of the MediaEval 2013 benchmark evaluation campaign, the objective of the Spoken Web Search (SWS) task was to perform Query-by-Example Spoken Term Detection (QbESTD) using audio queries in a low-resource setting. After two successful editions and a continuously growing interest in the scientific community, a special effort was made in SWS 2013 to prepare a challenging database, includin...