Sökning: "mfcc"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet mfcc.

  1. 1. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :David Karlsson; [2020]
    Nyckelord :Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.; Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.;

    Sammanfattning : Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. LÄS MER

  2. 2. 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

  3. 3. 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

  4. 4. Language Classification Using Neural Networks

    Kandidat-uppsats,

    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

  5. 5. 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