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Usha Rani, N.
- Analyzing and Correction of Errors to Improve the Speech Recognition Accuracy for Telugu Language
Abstract Views :214 |
PDF Views:3
Authors
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
1 Department of Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupathi, IN
2 Department of CIS, University of Hyderabad, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 6 (2011), Pagination: 381-387Abstract
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.- Effect of Speech Rate on the Speech Recognition Accuracy:A Review
Abstract Views :155 |
PDF Views:4
Authors
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
1 Department of Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupathi, IN
2 Department of CIS, University of Hyderabad, Hyderabad, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 2, No 10 (2010), Pagination: 251-258Abstract
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.- New Spectroscopic Method for Estimation of Atorvastatin Tablets Using Hydrotropic Solubilization Technique
Abstract Views :179 |
PDF Views:0
Authors
Affiliations
1 Maharajah’s College of Pharmacy, Phool Baugh, Vizianagaram -535002. AP, IN
1 Maharajah’s College of Pharmacy, Phool Baugh, Vizianagaram -535002. AP, IN