Amanote Research
Register
Sign In
Cross Validation of Cepstral Coefficients in Classifying Suicidal Speech From Depressed Speech
doi 10.15242/iie.e0515057
Full Text
Open PDF
Abstract
Available in
full text
Date
May 22, 2015
Authors
Unknown
Publisher
International Institute of Engineers
Related search
Gammatone Wavelet Cepstral Coefficients for Robust Speech Recognition
Blind Speech Segmentation Using Spectrogram Image-Based Features and Mel Cepstral Coefficients
Efficient Cepstral Normalization for Robust Speech Recognition
Perceptual Significance of Cepstral Distortion Measures in Digital Speech Processing
Automatika
Control
Systems Engineering
Computer Science
A Combined Cepstral Distance Method for Emotional Speech Recognition
International Journal of Advanced Robotic Systems
Word Extraction From Speech Recognition Using Correlation Coefficients
International Journal of Computer Applications
Classifying Heart Sound Recordings Using Deep Convolutional Neural Networks and Mel:Frequency Cepstral Coefficients
Multi-Resolution Cepstral Features for Phoneme Recognition Across Speech Sub-Bands
Pitch Estimation of Devnagari Vowels Using Cepstral and AutocorrelationTechniques for Original Speech Signal
International Journal of Computer Applications
