Employing Subsequence Matching in Audio Data Processing

VOLNÝ, Petr, David NOVÁK and Pavel ZEZULA. Employing Subsequence Matching in Audio Data Processing. Brno: Faculty of Informatics, Masaryk University, Brno, 2011. FIMU-RS-2011-04.

Basic information

• Original name: Employing Subsequence Matching in Audio Data Processing
• Authors: VOLNÝ, Petr (203 Czech Republic, guarantor, belonging to the institution), David NOVÁK (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
• Edition: Brno, FIMU-RS-2011-04, 2011.
• Publisher: Faculty of Informatics, Masaryk University, Brno

Other information

• Original language: English
• Type of outcome: Audiovisual works
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: full text
• RIV identification code: RIV/00216224:14330/11:00049994
• Organization unit: Faculty of Informatics
• Keywords in English: audio retrieval; subsequnce matching; similarity search; time series
• Tags: DISA

Abstract

We overview current problems of audio retrieval and time-series subsequence matching. We discuss the usage of subsequence matching approaches in audio data processing, especially in automatic speech recognition (ASR) area and we aim at improving performance of the retrieval process. To overcome the problems known from the time-series area like the occurrence of implementation bias and data bias we present a Subsequence Matching Framework as a tool for fast prototyping, building, and testing similarity search subsequence matching applications. The framework is build on top of MESSIF (Metric Similarity Search Implementation Framework) and thus the subsequence matching algorithms can exploit advanced similarity indexes in order to significantly increase their query processing performance. To prove our concept we provide a design of query-by-example spoken term detection type of application with the usage of phonetic posteriograms and subsequence matching approach.

Links

• GPP202/10/P220, research and development project: Name: Podobnostní vyhledávání s konstantní škálovatelností (Acronym: SIM-SCALE)

Investor: Czech Science Foundation

• VF20102014004, research and development project: Name: Multimediální analýza (Acronym: Multimediální analýza)

Investor: Ministry of the Interior of the CR