A. Revathy

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This paper presents the performance of the deaf speech recognition using Hidden markov model. Even persons those having perfect nasal and oral cavity cannot produce sounds if they are deaf, since they cannot hear anything. If deafness is found earlier, then using speech therapist they can be made to reproduce sounds at the maximum. Depending on the degree(More)
The main objective of this paper is to discuss the effectiveness of features and clustering algorithm to evaluate the performance of the singer identification system. The goal of singer identification is to identify the singer independent of training data. The training and testing phase are done for direct film song (vocal with background) for 10 singers.(More)
This paper discusses the effectiveness on the use of Hidden Markov Model tool kit (HTK) for recognizing speech, speaker and emotion from the emotional speeches using Mel frequency cepstral coefficients (MFCC) as a feature. Emotion independent speech recognition, speaker independent speech recognition, emotion independent speaker recognition and speaker(More)
This paper proposes a technique to recognize the emotion present in the speech signal using Continuous Density HMM.The Perceptual Linear Predictive Cepstrum (PLPC) and Mel Frequency Perceptual Linear Predictive Cepstrum (MFPLPC) features are considered in our work and they are extracted from the speech and training models are created using Continuous(More)
This paper deals how genetic programming can be used for record de-duplication. Many systems rely on the data integrity for offering high quality services that may be affected by the existence of near-replicas, quasi-replicas, or replicas entries in their repositories. So, there has been a huge effort from private and public organizations for developing(More)
It is a challenge for many years that how to fix the no. of states and no. of mixtures when HMM models are used for speech recognition. In this paper we have analysed that for hearing impaired speech that is partially intelligible to people who are speaking to them frequently and it is not understandable by the unfamiliar listeners. They suffer in many(More)
The main objective of this paper is to evaluate the performance of raga identification using clustering algorithm and to compare the accuracy of the raga identification system which uses Mel Frequency Cepstral Coefficients (MFCC) as feature and the system which uses pitch information along with MFCC features. The goal of Raga identification is to identify(More)
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