Informatics Publishing Limited

N. Usha Rani ¹, P. N. Girija ²

Affiliations
1 Department of Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupathi, IN
2 Department of CIS, University of Hyderabad, IN

Abstract

Dramatic advances have been made to improve the accuracy in the area of Speech Recognition. Many differences in user articulation, acoustic environment, transmission channel, microphone, word collection likelihood, dialectal variation, speech rate-all caused reduced performance of the speech recognition system. Mis recognition may occur due to substitution of single word for another word. Confusable words which leads to less recognition accuracy for the large vocabulary speech recognition system. Hence to improve the speech recognition accuracy, error recovery procedures are essential to use in the speech recognition system. Modification of the dictionary will be done based on the confusion words which are obtained from the decoder of the speech recognition system. Mismatch occurs when new acoustic signal is given to the decoder which is different from the training system. Testing speech models are not consistent with the acoustic and language model of the speech which is used in the training phase. In such cases, statistical method will be applied to the output of the decoder. Error Correcting procedures are essential and imposed by analyzing the errors that occurs in the decoder of the speech recognition system.

Keywords

Pronunciation Dictionary, Pronunciation Variation, Speech Recognition, Statistical Modification Method.

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N. Usha Rani ¹, P. N. Girija ²

Affiliations
1 Department of Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupathi, IN
2 Department of CIS, University of Hyderabad, Hyderabad, IN

Abstract

Humans can understand different speaking styles and peaking rates (Normal, Fast and Slow) of speech, but for the computers it is difficult task to recognize the speech accurately. Many variations such as co-articulation, physiology of speaker's formant frequencies between speaker vocal tracts will affect the accuracy of speech recognition. In this review, it focuses on variations with in the acoustic signal that makes speech recognition task difficult. In this survey, more research works was summarized relating to the effect of speech rate in speech recognition accuracy. In this the features which mainly affect the recognition accuracy and the different techniques for improving the speech recognition accuracy are discussed in the proposed research activities. In order to get better accuracy for the speech recognition, the role of pronunciation dictionary is also discussed. It can be used as a source of reference material.

Keywords

Pronunciation Dictionary, Pronunciation Variation, Speech Rate, Speech Recognition and Speech Rate Normalization.

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N. Usha Rani ¹, K. Keerthana ¹, M. Mitha ¹, S. Santhosh Kumar ¹, K. Kotamma ¹, T. M. N. U. Kiran ¹

Affiliations
1 Maharajah’s College of Pharmacy, Phool Baugh, Vizianagaram -535002. AP, IN

Abstract

A new, simple, accurate, cost effective and sensitive spectrophotometric method has been developed for the estimation of Atorvastatin (ATV) in tablet dosage form using 0.5 M sodium benzoate aqueous solution as a hydrotropic agent. Aqueous solubility of this model drug was enhanced 22 fold with 0.5M sodium benzoate solution without any interference with the method of analysis. Atorvastatin (ATV) showed maximum absorbance at a wavelength of 268 nm and Beer's law was obeyed in the concentration range of 0.1-0.6 μg/ml. The method was validated for various parameters according to ICH guidelines. Hence it can be adopted for the routine analysis of Atorvastatin (ATV) in tablet dosage forms.

Keywords

Atorvastatin, Hydrotropic Solubilization, Method Development And Validation.

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