Abstract:
This paper proposes the implementation of a Support Vector Machines (SVM) for automatic recognition of numerical speech commands. Besides the pre-processing of the speech...Show MoreMetadata
Abstract:
This paper proposes the implementation of a Support Vector Machines (SVM) for automatic recognition of numerical speech commands. Besides the pre-processing of the speech signal with Mel Frequency Ceptral Coefficients (MFCC), is used to Discrete Cosine Transform (DCT) to generate a two-dimensional matrix used as input to SVM algorithm for generating the pattern of words to be recognized. The Support Vector Machines represent a new approach to pattern classification. SVM is used to recognize speech patterns from the mean and variance of the speech signal input through the two-dimensional array aforementioned, the algorithm trains and tests those data showing the best response. Finally shows the experimental results in speech recognition applied to Brazilian Portuguese language process.
Date of Conference: 12-17 July 2015
Date Added to IEEE Xplore: 01 October 2015
ISBN Information: