A System for Information Retrieval from Large Records of Czech Spoken Data
In the paper we describe a complex multi-level system that serves for automatic search in large records of Czech spoken data. It includes modules for audio signal segmentation, speaker identification and adaptation, speech recognition and full-text search. The search can focus both on key-words and...
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| creator | Nouza, Jan Žďánský, Jindřich Červa, Petr Kolorenč, Jan |
| description | In the paper we describe a complex multi-level system that serves for automatic search in large records of Czech spoken data. It includes modules for audio signal segmentation, speaker identification and adaptation, speech recognition and full-text search. The search can focus both on key-words and key-speakers. The transcription accuracy is about 79 % (for broadcast programs), search accuracy about 90 %. Due to its distributed platform, the system can operate in almost real-time. |
| doi_str_mv | 10.1007/11846406_61 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2006, p.485-492 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19688167 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Audio Signal Automatic Speech Recognition Broadcast News Computer science control theory systems Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Software Speaker Identification Speech and sound recognition and synthesis. Linguistics Speech Recognition |
| title | A System for Information Retrieval from Large Records of Czech Spoken Data |
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