Sub Band Speech Analysis Using Gammatone Filter Banks and Optimal Pitch Extraction Methods for Each Sub Band Using Average Magnitude Difference Function (AMDF) for LPC Speech Coders in Noisy Environments.
Suma S. A.K. S. GurumurthyPublished in: J. Next Gener. Inf. Technol. (2010)
Keyphrases
- subband
- filter bank
- wavelet transform
- noisy environments
- image compression
- linear prediction
- multiresolution
- speech recognition
- wavelet coefficients
- bit rate
- speech signal
- feature vectors
- image coding
- high frequency
- discrete wavelet transform
- wavelet decomposition
- frequency domain
- speech enhancement
- perfect reconstruction
- image coder
- wavelet domain
- subband coding
- low frequency
- low pass
- reconstruction error
- wavelet packet
- automatic speech recognition
- contourlet transform
- lifting scheme
- frequency band
- multiscale
- wavelet filters
- pattern recognition
- hidden markov models
- speaker identification
- discrete cosine transform
- coding scheme
- directional information
- bitstream
- noise reduction