• POOJA YADAV

The listeners outperform Automatic speech recognition structures in each and every speech reputation task. Modern excessive-tech automated speech recognition systems carry out very well in environments, wherein the speech indicators are reasonably easy. In maximum of the instances popularity with the aid of machines degrades dramatically with mild adjustment in speech signals or talking environment, for this reason complicated algorithms are used to symbolize this unpredictability. So, the speech can be easily identified. Speech generation gives many possibilities for private identity this is herbal and non-intrusive. Besides that, speech era offers the capability to verify the identity of a person remotely over long distance by using an ordinary phone. In this paper, we proposed a technique to apprehend any words or speech through the spectrogram analysis. This techniques is used to look at the ideas of speaker reputation in multiple languages and apprehend its uses in identification and verification systems and to assess the recognition capability of various voice functions and parameters to find out the technique this is appropriate for Automatic Speaker Recognition systems in phrases of reliability and computational efficiency.

Speech Recognition, computational efficiency, speaker recognition MFCC, LPCC

"MFCC AND LPCC ANALYSIS OF SPEECH SIGNAL FOR DIFFERENT LANGUAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.1052-1057, December-2017, Available :http://www.jetir.org/papers/JETIR1712146.pdf

"MFCC AND LPCC ANALYSIS OF SPEECH SIGNAL FOR DIFFERENT LANGUAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp1052-1057, December-2017, Available at : http://www.jetir.org/papers/JETIR1712146.pdf