• Voice Recognition
    ● Introduction ● Initial problem ● How to Compare Recordings ● Dependence of system’s accuracy ● Algorithm instruction ● Source Code ● Software Requirements ● Hardware Requirements ● References Introduction The project “Attendance through Voice Recognition...
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  • Artificial Neural Network
    Recognition features. In the Matlab Interface Click on Open and locate the Folder which was unzipped and open the file untitled.m and you will see the display shown in Figure 1. [pic] figure 1 . The main window of the speech reognition system A description is given next for the buttons shown...
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  • Design of a Speaker Recognition System in Matlab
    Design of a Speaker Recognition Code using MATLAB E. Darren Ellis Department of Computer and Electrical Engineering – University of Tennessee, Knoxville Tennessee 37996 (Submitted: 09 May 2001) This project entails the design of a speaker recognition code using MATLAB. Signal processing in...
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  • Voice Recognition
    . The required computations for both Burg's model and Töeplitz approach were performed in MATLAB proving voice-signal image recognition in an easy-to-use for classification way. This comes from the fact that the presented problem solution and its Matlab implementation do not require to implement...
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  • Speech
    A Speech Recognition Project Abstract Voice Recognition is a facinating field spanning several areas of computer science and mathematics. Reliable speech recognition is a hard problem, requiring a combination of many techniques, however modern methods have been able to achieve an...
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  • Text Independent Speaker Recognition
    speaker’s identity is based on his or her speaking one or more specific phrases, like passwords, card numbers, PIN codes, etc[4]. All technologies of speaker recognition, identification and verification, text-independent and text-dependent, each have its own advantages and disadvantages and may...
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  • Werfqwef
    NCCT Promise for the Best Projects NCCT, Promise for the Best Projects EMBEDDED PROJECTS IEEE 2012-13 EMBEDDED SYSTEMS - MICROCONTROLLERS | VLSI | DSP | POWER ELECTRONICS | MATLAB PROJECTS 2012-13 EMBEDDED PROJECTS IEEE 2012-13 E M BE DDE D SYSTEMS MICROCONTROLLERS * POWER ELECTRONICS...
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  • Rutgers Course
    representation of audio signals; signal processing methods for speech analysis; waveform coders; vocoders; linear prediction; differential coders (DPCM, delta modulation); speech synthesis; automatic speech recognition; voice-interactive information systems. 16:332:529 (S) IMAGE CODING AND PROCESSING (3...
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  • Avenues Concept Document
    only our voices, as this would enhance the algorithm’s accuracy in terms of recognition and allow for speaker independence. The data set for the training and testing phases are recorded by using a PC-based audio input device or a microphone. For simplification purposes the recoded samples are...
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  • Speech Enhancement Techniques and Their Comparison
    . The implementation of the code is done using Graphic User Interface on MATLAB. Keywords— Speech enhancement, FFT, Spectral subtraction, Kalman filter, Wiener filter, Performance parameters I. INTRODUCTION Speech is the fundamental and common medium, hence important for us, to communicate...
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  • Forgery Details in Image Processing
    recognition), the techniques are general and can migrate to other application domains. You will find a host of further supporting information at the book’s website (http://www.ecs.soton.ac.uk/∼msn/book/). First, you will find the worksheets (the Matlab and Mathcad implementations that support the text) so...
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  • Final Year Projects
    | | |35 |Project Title: Reed Solomon Block Codes (Implementation in MATLAB and on FPGA) |Engr. Romana Shahzadi | | | |(Lab Engineer...
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  • biometrics
    voice recognition sound sensations of a person is measured and compared to an existing dataset [10]. The person to be identified is usually required to speak a secret code, which facilitate the verification process Advantages of voice recognition.  Public acceptance  No contact required...
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  • Speaker Identification and Verification over Short Distance Telephone Lines Using Artificial Neural Networks
    recognition problem. Fo speaker recognition, the features extracted from a speech signal should be consistent with regard to the desired speaker while exhibiting large deviations from the features of an imposter. The selection of speakerunique features from a speech signal is an ongoing issue...
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  • Resume
    Arbor, MI May 2010 – August 2010 • Calibrated optical sensor to measure piezoresistor deflection • Wrote MATLAB code to take FFT of results Assistant in Research — Alignment of Vortical Structures in Turbulence Undergraduate Research Opportunities Program, University of Michigan, Ann Arbor, MI...
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  • Mis Dubai Duty Free
    consists of 20 bands minimum. For simplification only three bands have been taken into consideration, the upper band, the lower band and the mid band. This was done using the MATLAB code. In the code I have given the gain of low pass to be 0.4 and the gain of the high pass and band pass to be 1.5. As...
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  • Rtuyuyi
    15 24 That is, X.*Y means [1×4, 3×5, 4×6] = [4 15 24]. The ‘.*’ operator is used very often (and is highly recommended) because it is executed much faster compared to the code that uses for loops. 3. Complex numbers MATLAB also supports complex numbers. The imaginary number is denoted with...
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  • Women Empowerment in India
    . Assignments on numerical solution of Algebraic Equation by Regular-falsi and Newton Raphson methods. Assignments on ordinary differential equation: Euler’s and Runga-Kutta methods. Introduction to Software Packages: Matlab / Scilab / Labview / Mathematica. Circuits and Networks Laboratory Code: EC391...
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  • Fast Haar Transform
    Matlab Code 2008 [Online]. Available:WWW. Eng.auburn.edu/~dmbevly/matlab/ [4] X. He, D. Cai, and J. Han, “Learning a maximum margin subspace for image retrieval,” IEEE Trans. Knowl. Data Eng., vol. 20, no.2, pp. 189-201, Feb.2008. [5] X. He,S. Yan, Y. Hu,P.Niyogi,and H. Zhang, “Face recognition using Laplacian faces, “ IEEE Trans. Pattern Anal. Mach.Intell., vol. 27, no.3, pp. 328-340, Mar. 2005....
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  • Lms Filter Thesis
    simulation and experimentation. For simulation, the MATLAB AWGN function was used. In experimentation, the samples of the AWGN from MATLAB were loaded into a file of length 2048. Then that file was used in the assembly code to add AWGN to the original input signal. AWGN is used because it simulate the...
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