Abstract
In this paper, we newly introduce a collection of databases and evaluation tools called CENSREC-4, which is an evaluation framework for distant-talking speech under hands-free conditions. Distant-talking speech recognition is crucial for a hands-ree speech interface. Therefore, we measured room impulse responses to investigate reverberant speech recognition in various environments. The data contained in CENSREC-4 are connected digit utterances, as in CENSREC-1. Two subsets are included in the data: basic data sets and extra data sets. The basic data sets are used for the evaluation environment for the room impulse response-convolved speech data. The extra data sets consist of simulated and recorded data. An evaluation framework is only provided for the basic data sets as evaluation tools. The results of evaluation experiments proved that CENSREC-4 is an effective database for evaluating the new dereverberation method because the traditional dereverberation process had difficulty sufficiently improving the recognition performance.
Original language | English |
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Pages (from-to) | 968-971 |
Number of pages | 4 |
Journal | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH |
Publication status | Published - 2008 |
Event | INTERSPEECH 2008 - 9th Annual Conference of the International Speech Communication Association - Brisbane, QLD, Australia Duration: 2008 Sept 22 → 2008 Sept 26 |
Keywords
- Convolution
- Evaluation framework
- Impulse response
- Real recorded data
- Various environments
ASJC Scopus subject areas
- Human-Computer Interaction
- Signal Processing
- Software
- Sensory Systems