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...
Saved in:
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Thesis Book |
| Language: | English |
| Published: |
Perlis, Malaysia
School of Mechatronic Engineering
2012.
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!