Survey paper on Different Speech Recognition Algorithm: Challenges and Techniques

The Speech is most major & prime mode of Communication among human beings. The communication among human and computer is referred as human computer interface. Speech can be used to commune with computer. The speech recognition research is becoming more and more determined. Today, researchers are trying to making an effort to extend the capabilities of what computers can do with the spoken words. This paper consists of the classification of algorithms through which an uttered word can be converted to computer intelligible form. The challenges in speech recognition will be enumerated and analyzed for the most popular recognition techniques used today. The analysis ends with a brief description of some of the applications of speech recognition.

[1]  Nidhi Desai,et al.  Feature Extraction and Classification Techniques for Speech Recognition: A Review , 2013 .

[2]  Parminder Singh,et al.  Speech Recognition System ; Challenges and Techniques , 2012 .

[3]  A Review on Speech Recognition Challenges and Approaches , 2012 .

[4]  Fardad Farokhi,et al.  An Advanced Method for Speech Recognition , 2009 .

[5]  Ninad Bhatt,et al.  Classification Techniques for Speech Recognition: A Review , 2015 .

[6]  Ratnadeep R. Deshmukh,et al.  A Review on Different Approaches for Speech Recognition System , 2015 .

[7]  Mark J. F. Gales,et al.  The Application of Hidden Markov Models in Speech Recognition , 2007, Found. Trends Signal Process..

[9]  Hervé Bourlard,et al.  Speech Recognition based on Template Matching and Phone Posterior Probabilities , 2007 .

[10]  Kuolin Hsu,et al.  Artificial Neural Network Modeling of the Rainfall‐Runoff Process , 1995 .

[11]  Markus Forsberg Why is Speech Recognition Difficult? , 2003 .

[12]  Khaled M. Alhawiti Advances in Artificial intelligence Using Speech Recognition , 2015 .

[13]  Divya Gupta,et al.  Speech Feature Extraction and Classification: A Comparative Review , 2014 .

[14]  Gajanan K. Kharate,et al.  An Overview of Technical Progress in Speech Recognition , 2013 .

[15]  YoungSteve,et al.  The application of hidden Markov models in speech recognition , 2007 .

[16]  Navdeep Kaur,et al.  Speech Recognition Using Stochastic Approach:A Review , 2013 .

[17]  C Bhushan,et al.  Speech Recognition Using Artificial Neural Network – A Review , 2016 .

[18]  John H. L. Hansen,et al.  A Review on Speech Recognition Technique , 2010 .

[19]  Valarmathy,et al.  A Review on clustering techniques in Continuous Speech Recognition , 2014 .