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Impact of Acoustic Parameters on Speech Signal Processing: Optimization of the Recognition for Arabic Numerals


Lamkadam Abdelmajid , LISTA/FSDM FEZ; Karim Mohamed, LISTA/FSDM FEZ


Speech Signal, Channel Analysis, Speech Processing, Acoustic Characteristics, VAD, Segmentation, Windowing, Extraction, DTW, ASR


In this work, the general characteristics [2] of a speech signal have been presented and described, and they have been organized judiciously according to the different aspects [5] that can be contained and characterized by such a signal, and Cited various tools [10] that are currently used in a signal, to arrive at a clear and fairly complete description of the latter. Indeed, there are a large number of characteristics that can be extracted from the speech signal; we cite the acoustic, phonetic, morphological characteristics ... Also those which make it possible to discriminate particular classes [8] sound. However, given our goal of a complete description of the speech signal, we will focus more on general characteristics not related to particular classes. Finally, the speech signal can be processed by a set of mathematical and physical tools [8], also via various acquisitions and editing equipment. Once the processing steps have been completed, acoustic vectors [10] will be present which will facilitate their use for recognition [3].

Other Details

Paper ID: IJSRDV5I51357
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 1702-1706

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