[PDF] Top 20 A Comparative Study of Feature Extraction Techniques for Speech Recognition System

... the system which can analyze and classify the speech signal ...computers system which can understand the spoken language can be very useful in various areas like agriculture, health care and ... See full document

... the study of [1][9] Short-term cepstral features are generally referred to as low level features reflecting the voice parameters of the speaker as opposed to higher-level features that capture phonetic, prosodic, ... See full document

... electronic system was described in [8]. Here Feature Extraction was done using Fast Fourier Transform (FFT) to obtain the signal spectrum in the frequency domain and concluded that FFT was an ... See full document

... Abstract— Speech feature extraction which attempts to obtain a parametric representation of an input speech signal plays a crucial role in the overall performance of an Automatic Speech ... See full document

... Abstract— Speech is the most natural form of human communication and speech processing has been one of the most inspiring expanses of signal ...processing. Speech recognition is the process of ... See full document

... identify speech from multiple users, the user needs to be in a place which is background noise free for an accurate recognition, there occurs a problem with the accent and the pronunciation of the user or ... See full document

... on feature extraction for speech recognition and discusses the techniques and system that make it possible for computers to accept speech as ...speech ... See full document

... Bangla Speech Recognition System Using LPC and ANN, Seventh International Conference on Advances in Pattern Recognition, IEEE Xplore, (Kolkata, ...2011. Speech Recognition Using ... See full document

... a speech recognition system is designed for isolated spoken words in ...A comparative study of two major feature extraction techniques such as linear predictive ... See full document

... Face recognition has received important attention due of its various applications in security, access control, computer entertainment, surveillance, law enforcement and Internet ...face recognition still ... See full document

... Abstract— Speech recognition is an interdisciplinary area which includes linguistics, electrical engineering, and computer science which focus on speech ...automatic speech recognition ... See full document

... decade, speech recognition systems have developed into increasingly used in automated solutions with spoken language ...in speech technology, with today's state-of-the-art systems to be able to ... See full document

... Many study have been conduct to be familiar with and distinguish vowels and consonants using audio/articulator ...nonstop speech is segmented into lesser words units and each unit is confidential either ... See full document

... [26] Corneliu Octavian DUMITRU , Inge GAVAT, A comparative study of feature extraction methods applied to continuous speech recognition in Romanian language, Proc of 48th International S[r] ... See full document

... on speech emotion recognition with considering the issues related to emotional speech corpora, different types of speech features and models used for recognition of emotions from ... See full document

... Face recognition or identification based on physiological characteristics is included in biometrics based ...biometrics-based techniques are the successful techniques for recognizing individuals ... See full document

... processing system, the NLP has shifted it’s researched to processing of the speech through acoustic features of the audio voice rather than its textual ...the feature extraction algorithms ... See full document

... a system for recognizing spoken Arabic digits from zero to nine based on three feature extraction techniques: Yule-Walker spectrum feature, Walsh spectrum feature and Mel ... See full document

... Image Feature Extraction and Representation Techniques”, since the extraction ideal features from the image is still a problem from the last decades, through this paper authors focused on ... See full document

... At Texas Instruments (TI) TI46 corpus was designed and collected. The speech was produced by 16 speakers, 8 females and 8 males, labelled f1-f8 and m1-m8 respectively, consisting of two vocabularies TI-20 and ... See full document