Add to ORKGA novel method for classifying speech phonemes is presented. Unlike traditional cepstral based methods, this approach uses histograms of reconstructed phase spaces. A naive Bayes classifier uses the probability mass estimates for classification. The approach is verified using isolated fricative, vowel, and nasal phonemes from the TIMIT corpus. The results show that a reconstructed phase space approach is a viable method for classification of phonemes, with the potential for use in a continuous speech recognition system
The comparative method is the standard technique by which historical linguists reconstruct ancestral...
Abstract- An approach is presented in this paper for vowel classification by analyzing the dynamics ...
This paper introduces a novel approach to the analysis and classification of time series signals usi...
A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based metho...
A novel method for classification of speech phonemes, based on the combination of dynamical systems ...
The paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proce...
This paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proc...
This paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proc...
A speech recognition system implements the task of automatically transcribing speech into text. As c...
This paper examines the use of multi-band reconstructed phase spaces as models for phoneme classific...
A novel method for speech recognition is presented, utilizing nonlinear/chaotic signal processing te...
This paper introduces a novel time-domain approach to modeling and classifying speech phoneme wavefo...
A novel method for speech recognition is presented, utilizing nonlinear/chaotic signal processing te...
A novel method combining filter banks and reconstructed phase spaces is proposed for the modeling an...
This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated...
The comparative method is the standard technique by which historical linguists reconstruct ancestral...
Abstract- An approach is presented in this paper for vowel classification by analyzing the dynamics ...
This paper introduces a novel approach to the analysis and classification of time series signals usi...
A novel method for classifying speech phonemes is presented. Unlike traditional cepstral based metho...
A novel method for classification of speech phonemes, based on the combination of dynamical systems ...
The paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proce...
This paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proc...
This paper presents a novel method for speech recognition by utilizing nonlinear/chaotic signal proc...
A speech recognition system implements the task of automatically transcribing speech into text. As c...
This paper examines the use of multi-band reconstructed phase spaces as models for phoneme classific...
A novel method for speech recognition is presented, utilizing nonlinear/chaotic signal processing te...
This paper introduces a novel time-domain approach to modeling and classifying speech phoneme wavefo...
A novel method for speech recognition is presented, utilizing nonlinear/chaotic signal processing te...
A novel method combining filter banks and reconstructed phase spaces is proposed for the modeling an...
This paper presents a study of the attractor variation in the reconstructed phase spaces of isolated...
The comparative method is the standard technique by which historical linguists reconstruct ancestral...
Abstract- An approach is presented in this paper for vowel classification by analyzing the dynamics ...
This paper introduces a novel approach to the analysis and classification of time series signals usi...