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Description ∕a∕ vowel group consonants (database 1) recognition performance using support vector machine (SVM), hidden Markov model (HMM), and SVM + HMM acoustic models under different coders.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Performance of vowel onset point (VOP) detection using combined (COMB) and proposed methods on consonant–vowel units from database 2 (950 VOPs are considered).
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description List of 145 consonant–vowel units.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Evidence plots for test utterance ∕th∕. (a) Support vector machine (SVM) evidence. (b) Hidden Markov model (HMM) evidence. (c) HMM + SVM evidence.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Vowel onset point (VOP) detection using proposed method for utterance /‘Dont ask me to carry an’/. (a) Speech signal. (b) Mean smoothed plot of short‐term spectral energy around each epoch. (c)...
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Performance of vowel recognition from consonant–vowel units (database 1) using support vector machine (SVM), hidden Markov model (HMM), and SVM + HMM acoustic models under different coders.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Performance of vowel onset point (VOP) detection using combined (COMB) and proposed methods on consonant–vowel units from database 1 (1450 VOPs are considered).
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Vowel onset point (VOP) detection using a combination of all three evidence and proposed method for utterance ∕ba∕. (a) Speech signal. VOP evidence plot using (b) combined VOP and (c) proposed...
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Performance of vowel onset point (VOP) detection for consonant–vowel units from database 2 by using proposed method by considering the spectral energy at different frequency bands (950 VOPs...
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Proposed consonant–vowel (CV) recognition system using hidden Markov model (HMM) and support vector machine (SVM).
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Mel‐frequency cepstral coefficient (MFCC) features average squared correlation plot for vowels.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Vowel recognition performance with different values of weight w1.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Overall consonants (database 1) recognition performance using support vector machine (SVM), hidden Markov model (HMM), and SVM + HMM acoustic models under different coders.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description ∕a∕ vowel group consonant recognition performance with different values of weight w1.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Mel‐frequency cepstral coefficient (MFCC) features average squared correlation plot for consonants.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing -
Description Overall 95 consonant–vowel units (database 2) recognition performance using monolithic support vector machine (SVM) and proposed acoustic models under different coders.
Article Title: Improved consonant–vowel recognition for low bit‐rate coded speech
Publication Title: International Journal of Adaptive Control and Signal Processing