Classification of voiced and non-voiced speech signals using empirical wavelet transform and multi-level local patterns.
T. Sunil KumarMd. Azahar HussainVivek KanhangadPublished in: DSP (2015)
Keyphrases
- speech signal
- wavelet transform
- speech recognition
- non stationary
- background noise
- automatic speech recognition
- vocal tract
- speaker identification
- automatic speech recognition systems
- spectral analysis
- hidden markov models
- pattern recognition
- linear prediction
- machine learning
- speech enhancement
- wavelet coefficients
- feature extraction
- noisy environments
- multiresolution
- image coding
- feature vectors
- image compression
- multiscale
- feature selection
- subband
- blind source separation
- training set
- high frequency
- support vector machine
- acoustic features
- feature space
- support vector
- computer vision