Audio/Speech Signal Analysis for Depression |
Author(s): |
| Parikh Arpit , PIES, RGPV, BHOPAL; Sameena Zafar, PCST, RGPV, BHOPAL; Mukesh Saini, PCST, RGPV, BHOPAL |
Keywords: |
| Mel Frequency Cepstral Coefficients (MFCC), Speech Emotion Recognition (SER), discrete Cosine Transform (DCT), Depression |
Abstract |
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The word “depressed†is a common everyday word. People might say "I am depressed" when in fact they mean "I am fed up because I have had a row, or failed an exam, or lost my job", etc. These ups and downs of life are common and normal. Most people recover quite quickly. Depression is identified by different methods. Here we are identified depression by MFCC (Mel Frequency Ceptral Coefficient) method. There are different parameters used for the identification of depressed speech and normal speech, but MFCCs based parameter is the most applicable information then other parameter because depressive speech or audio signal can contain more information in the higher energy bands when compared with normal speech. |
Other Details |
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Paper ID: IJSRDV2I7128 Published in: Volume : 2, Issue : 7 Publication Date: 01/10/2014 Page(s): 228-230 |
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