Classroom speech intelligibility prediction system for front-rear speech amplified classroom based on audio features /
The goal of this research is to develop an intelligent speech intelligibility prediction system by combining audio-features (spectral rolloff (SR), spectral centroid (SC), power (PO), zero-crossings rate (ZCR), and short time energy (STE)) and classifiers (feed forward neural network (FFNN), Elman n...
שמור ב:
| מחבר ראשי: | |
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| מחבר תאגידי: | |
| פורמט: | Thesis ספר |
| שפה: | English |
| יצא לאור: |
Perlis, Malaysia
School of Mechatronic Engineering
2012.
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הוספת תג
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| 100 | 0 | |a Mohammad Ridhwan Tamjis., |e author | |
| 245 | 1 | 0 | |a Classroom speech intelligibility prediction system for front-rear speech amplified classroom based on audio features / |c Mohammad Ridhwan Tamjis. |
| 264 | 1 | |a Perlis, Malaysia |b School of Mechatronic Engineering |c 2012. | |
| 300 | |a 125 pages |b illustrations |c 30 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a volume |b nc |2 rdacarrier | ||
| 502 | |a Thesis (Master of Science)--Universiti Malaysia Perlis. School of Mechatronic Engineering, 2012. | ||
| 504 | |a Includes bibliographical references (pages 112-118). | ||
| 520 | |a The goal of this research is to develop an intelligent speech intelligibility prediction system by combining audio-features (spectral rolloff (SR), spectral centroid (SC), power (PO), zero-crossings rate (ZCR), and short time energy (STE)) and classifiers (feed forward neural network (FFNN), Elman network (ENN)). | ||
| 541 | |a Gift from Centre for Graduate Studies | ||
| 650 | 0 | |a Speech, Intelligibility of. | |
| 710 | 2 | |a Universiti Malaysia Perlis | |
| 720 | 1 | ||
| 790 | 1 | |a School of Mechatronic Engineering | |
| 791 | 1 | |a Master of Science | |
| 792 | 1 | |a 2012 | |
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