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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Paulraj, M. P. | - |
dc.contributor.author | Ahmad Nazri | - |
dc.contributor.author | Sivanandam, S.N. | - |
dc.contributor.author | Thagirarani, M. | - |
dc.date.accessioned | 2009-07-16T07:31:34Z | - |
dc.date.available | 2009-07-16T07:31:34Z | - |
dc.date.issued | 2008-01-03 | - |
dc.identifier.citation | p.518-523 | en_US |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/6455 | - |
dc.description | Organized by Kongu Engineering College, 3rd - 5th January 2008 at Kongu Engineering College, Tamilnaidu, India. | en_US |
dc.description.abstract | Adequate speech intelligibility should be the primary goal in acoustical design of classrooms. Typical design parameters are reverberation time and background noise level. However for predicting the Speech Transmission Index (STI) of a room, the designer should have knowledge about the early decay time at various listener's position in a classroom. In this paper, simple neural network models are developed to predict the STI and speech clarity (SC) of a classroom at various listeners' position based on the speaker's sound pressure level. Based on the network model, the variation of STI and SC at various listeners 'positions are mapped. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Kongu Engineering College | en_US |
dc.relation.ispartofseries | Proceedings of the 2nd International Conference on Resource Utilization and Intelligent Systems | en_US |
dc.subject | Neural networks (Computer science) | en_US |
dc.subject | Speech intelligibility | en_US |
dc.subject | Classroom acoustics | en_US |
dc.subject | Speech, Intelligibility | en_US |
dc.subject | Speech processing systems | en_US |
dc.subject | Speech perception | en_US |
dc.title | Neural network models for speech inteligibility assessment in university classroom | en_US |
dc.type | Working Paper | en_US |
Appears in Collections: | Conference Papers Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
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Neural Network Models For Speech Intelligibility Assessment In University Classrooms.pdf | Access is limited to UniMAP community. | 3.59 MB | Adobe PDF | View/Open |
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