A Comparative Study of Feature Extraction Techniques for Speech Recognition System
نویسندگان
چکیده
منابع مشابه
Techniques for Feature Extraction In Speech Recognition System : A Comparative Study
The time domain waveform of a speech signal carries all of the auditory information. From the phonological point of view, very little can be said on the basis of the waveform itself. However, past research in mathematics, acoustics, and speech technology have provided many methods for converting data, that can be considered as information if interpreted correctly. In order to find some statisti...
متن کاملComparative Study of Speech Recognition System Using Various Feature Extraction Techniques
It is very important to detect the speech endpoints accurately in speech recognition. This paper presents a comparative analysis of various feature extraction techniques of endpoint detection in speech recognition of isolated words in noisy environments. The endpoint detection problem is nontrivial for no stationary backgrounds where artifacts (i.e., no speech events) may be introduced by the s...
متن کاملComparative Study on Feature Extraction Methods in Speech Recognition
Speech recognition is an analysis side of the main topics machine speech processing. The synthesis side may be called speech production. These two taken together allow computers to cooperate with spoken language. My study specializes in isolated word speech recognition in Gujarati language. Special message recognition, in humans, is 1000s of years old. On our planet it would be traced backed mi...
متن کاملEvaluation of Different Feature Extraction Techniques for Continuous Speech Recognition
Extracting human's voice feature is the most important process in any speech recognition system. There are many feature extraction techniques which are already used such as MFCC, LPC and ZCPA; but still have some problems especially in the continuous speech. It is important to evaluate different feature extraction techniques for continuous speech by making a comparison between these techniques ...
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ژورنال
عنوان ژورنال: International Journal of Innovative Research in Science, Engineering and Technology
سال: 2014
ISSN: 2319-8753
DOI: 10.15680/ijirset.2014.0312034