Sökning: "Speaker recognition"

Visar resultat 16 - 20 av 46 uppsatser innehållade orden Speaker recognition.

  1. 16. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Ricardo Núñez-Prieto; [2019]
    Nyckelord :Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

    Sammanfattning : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. LÄS MER

  3. 17. Application of LabVIEW and myRIO to voice controlled home automation

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och System

    Författare :Tim Lindstål; Daniel Marklund; [2019]
    Nyckelord :speech recognition; home automation; labview; myrio; amazon alexa; mel frequency cepstral coefficients; dynamic time warping;

    Sammanfattning : The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. LÄS MER

  4. 18. Generating Training Data for Keyword Spotting given Few Samples

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Pius Friesch; [2019]
    Nyckelord :;

    Sammanfattning : Speech recognition systems generally need a large quantity of highly variable voice and recording conditions in order to produce robust results. In the specific case of keyword spotting, where only short commands are recognized instead of large vocabularies, the resource-intensive task of data acquisition has to be repeated for each keyword individually. LÄS MER

  5. 19. Evaluation of Text-Independent and Closed-Set Speaker Identification Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Berk Gedik; [2018]
    Nyckelord :;

    Sammanfattning : Speaker recognition is the task of recognizing a speaker of a given speech record and it has wide application areas. In this thesis, various machine learning models such as Gaussian Mixture Model (GMM), k-Nearest Neighbor(k-NN) Model and Support Vector Machines (SVM) and feature extraction methods such as Mel-Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) are investigated for the speaker recognition task. LÄS MER

  7. 20. A performance measurement of a Speaker Verification system based on a variance in data collection for Gaussian Mixture Model and Universal Background Model

    Magister-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Zeid Bekli; William Ouda; [2018]
    Nyckelord :Speaker recognition; Speaker Verification; Speaker authentication; Speaker classification; Gaussian mixture model; Gaussian Mixture Model-Universal Background Model; Biometric System; Equal Error Rate; False Negative Rate; False Positive Rate; Mel Frequency Cepstrum Coefficients;

    Sammanfattning : Voice recognition has become a more focused and researched field in the last century,and new techniques to identify speech has been introduced. A part of voice recognition isspeaker verification which is divided into Front-end and Back-end. LÄS MER