Improving Speech Recognition Rate through Analysis Parameters
Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness these variations are not very rapid and the signal can be considered as stationary in short segments. It is presumed that in short-time magnitude spectrum the most distinct information of speech is contained. T...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2014-05-01
|
| Series: | Electrical, Control and Communication Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ecce-2014-0009 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Speech signal is redundant and non-stationary by nature. Because of vocal tract inertness these variations are not very rapid and the signal can be considered as stationary in short segments. It is presumed that in short-time magnitude spectrum the most distinct information of speech is contained. This is the main reason for speech signal analysis in frame-by-frame manner. The analyzed speech signal is segmented into overlapping segments (so-called frames) for this purpose. Segments of 15-25 ms with the overlap of 10-15 ms are used usually. |
|---|---|
| ISSN: | 2255-9159 |