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Automatic Speech Recognition URK20EC2026 Mahidhar, LPCC analysis, MFCC…
Automatic Speech Recognition URK20EC2026
Mahidhar
LPCC analysis
Feature extractor
Present work
Preprocessing
Sampling rate
Speech processing
Windowing
Soft signal
Front – End analysis
Speech dataset design
Pre-emphasis
Frame blocking
Windowing
Autocorrelation analysis
Cepstrum analysis
Implementation of LPCC
LPC analysis
Speech sampling
MFCC analysis
Blocking of frames
Windowing of speech signal
Fast Fourier transform (FFT)
Mel-frequency warping
Filter bank analysis on Mel frequency scale
Cepstrum
Implementation of MFCC
Multilayer perceptron architecture
Classifiers used
Recognition methodology
Backpropagation algorithm
Quick propagation
Delta-Bar-Delta algorithm
Conjugate gradient method
Implementing multilayer perceptron
Approaches
pattern recognition
artificial intelligence
Neural network
acoustic –phonetic
Training algorithm for an RBFN with fixed centers
Radial basis function architecture
Isotropic
K-Nearest neighbor
Implementing the radial basis function
Adopted
Hidden Markov Model(HMM)
Gaussian Mixture models
Results and discussions