Sökning: "mfcc"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet mfcc.

  1. 1. Automatic Speech Quality Assessment in Unified Communication : A Case Study

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Kevin Larsson Alm; [2019]
    Nyckelord :speech; voice; communication; qoe; quality of experience; unified communication; uc; speech quality assessment; speech quality; voice calls; gaussian mixture model; gmm; gaussian mixture regression; gmr; mel frequency cepstrum coefficients; mfcc; human feature cepstrum coefficients; hfcc; gammatone frequency cepstral coefficients; gfcc;

    Sammanfattning : Speech as a medium for communication has always been important in its ability to convey our ideas, personality and emotions. It is therefore not strange that Quality of Experience (QoE) becomes central to any business relying on voice communication. LÄS MER

  2. 2. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Yasser Alsouda; [2019]
    Nyckelord :urban noise; sound pressure level SPL ; internet of things IoT ; machine learning; support vector machine SVM ; k-nearest neighbors KNN ; bootstrap aggregating Bagging ; random forest; mel-frequency cepstral coeffi-cients MFCC ;

    Sammanfattning : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. LÄS MER

  3. 3. Language Classification Using Neural Networks


    Författare :Andreas Lindgren; Gustav Lind; [2019]
    Nyckelord :;

    Sammanfattning : In this project a model has been created that with an audio sequence as input can classify the language being spoken to be either english or french. The focus of the project has been to experiment with different ways to process audio files and to design a neural network in order to maximize the performance for the task of language classification. LÄS MER

  4. 4. 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

  5. 5. 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/Teknik och samhälle

    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 is speaker verification which is divided into Front-end and Back-end. LÄS MER