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- W3041128201 abstract "This paper showcases a research on speech recognition classification and identification performance. Lots of researchworks are going on in the field of speech recognition. This paper presents a glance of speech recognition using neural networkalgorithm. Speech signals can be recognized using artificial neural network. Voices of individuals can be identified in crowd and tryto create a noise free environment by good quality of headphone. In the proposed work, the standard neural network with backpropagation algorithm is developed. Speech signals are converted in wave format. The features of the input recorded signals arebeing extracted by using the method of training of speech signals. Training is definitely required for recorded dataset because we donot have complete information about the input/output signals and then speech signals are passed through hidden layers duringtraining of speech signals. Classifiers are used to classify speech signals and identify the speaker." @default.
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- W3041128201 date "2020-01-01" @default.
- W3041128201 modified "2023-09-23" @default.
- W3041128201 title "CLASSIFICATION TECHNIQUES FOR SPEECHRECOGNITION USING NEURAL NETWORK ALGORITHM" @default.
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