Speech recognition tool
This project is to study the use of various mathematical or statistical methods and techniques used in speech recognition to identify defects in an aircraft material. Aircraft body is likely to have defects after long hours of flights and it is of utmost importance to detect any defects. There a...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/17978 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This project is to study the use of various mathematical or statistical methods
and techniques used in speech recognition to identify defects in an aircraft
material.
Aircraft body is likely to have defects after long hours of flights and it is of
utmost importance to detect any defects. There are 24 defects and 1 non
defect data inputs in this study and they are presented in a form of sound
waves. Therefore techniques used in speech recognition are being explored
here. Some of the techniques to be explored are such as Earth Mover’s
Distance, Correlation and First Derivative Correlation search, Linear
Discriminant Analysis, Dynamic Time Warping and Neural Network.
Earth Mover’s Distance can be seen employed in colour and image
recognition. It is a kind of dissimilarity assessment technique which is
applicable to multi-dimensional distributions. Correlation and First Derivative
Correlation Search is a type of statistical measure for relationships between
distributions and the result of it will show how related the data is from each
other. Linear Discriminant Analysis is often employed in statistics and
machine learning. It is most often used to find separation between classes of
objects. Dynamic Time Warping is a technique used to measure similarity
between two distributions and this method is able to analyse data and
compare them disregarding the time and speed difference. Neural Network is
a complex analytical method which creates a network from training it. With it,
Neural Network is able to recognise trends and patterns from data which
humans may be unable to.
With these few methods, the aim is to study the plausibility and effectiveness
of applying these techniques into defect detection for aircraft material. |
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