Human Voice Recognition System with Backpropagation Neural Network Method
نویسندگان
چکیده
منابع مشابه
A Neural Network Based Character Recognition System Using Double Backpropagation
Proposes a neural network based invariant character recognition system using double backpropagation network. The model consists of two parts. The first is a preprocessor which is intended to produce a translation, rotation and scale invariant representation of the input pattern. The second is a neural net classifier. The outputs produced by the preprocessor at the first stage are classified by ...
متن کاملBackpropagation Neural Network Tutorial
The Architecture of BPNN’s A population P of objects that are similar but not identical allows P to be partitioned into a set of K groups, or classes, whereby the objects within the same class are more similar and the objects between classes are more dissimilar. The objects have N attributes (called properties or features) that can be measured (observed) so that each object can be represented b...
متن کاملVoice Recognition Using Artificial Neural Network
Voice is the sound produced in a person's larynx and uttered through the mouth, as speech or song. Like finger prints and the iris of the eye the voice of each person is unique. The parameters of a person’s voice differ in pitch, timber and vocal intensity. Hence it can be authentication. In this paper feature extraction methods used are Linear Predictive Coding, Fast Fourier Transform and wave...
متن کاملFace recognition by using fractal encoding and backpropagation neural network
This paper presents a frontal view face recognition method by using fractal codes which are determined by a fractal encoding method from the edge pattern of the face region which covers eyebrows, eyes and a nose. In recognition process, these fractal codes are fed ass inputs to a Backpropagation neural network for learning and identifying a person. The experiments were performed with one in-roo...
متن کاملCharacter Recognition using a Multilayer Feedforward Neural Network and Backpropagation
Neural network is widely used for classification and regression problems, and are proved to be effective with high successful rate. In this paper, a two layer feedforward artificial neural network is built based on the back propagation algorithm. The goal of this paper is to apply neural network in a classification problem, to distinguish which character a given input is. By training the neural...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in engineering research
سال: 2023
ISSN: ['2352-5401']
DOI: https://doi.org/10.2991/978-94-6463-148-7_43