Essays about: "text-independent"

Found 3 essays containing the word text-independent.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Berk Gedik; [2018]
    Keywords : ;

    Abstract : 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. READ MORE

  3. 2. Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices

    University essay from KTH/Skolan för elektro- och systemteknik (EES)

    Author : Stefano Imoscopi; [2016]
    Keywords : ;

    Abstract : The aim of speaker recognition and veri cation is to identify people's identity from the characteristics of their voices (voice biometrics). Traditionally this technology has been employed mostly for security or authentication purposes, identi cation of employees/customers and criminal investigations. READ MORE

  4. 3. Optimizing text-independent speaker recognition using an LSTM neural network

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Joel Larsson; [2014]
    Keywords : speaker recognition; speaker identification; text-independent; long short-term memory; lstm; mel frequency cepstral coefficients; mfcc; recurrent neural network; speech processing; spectral analysis; rnnlib; htktoolkit;

    Abstract : In this paper a novel speaker recognition system is introduced. Automated speaker recognition has become increasingly popular to aid in crime investigations and authorization processes with the advances in computer science. Here, a recurrent neural network approach is used to learn to identify ten speakers within a set of 21 audio books. READ MORE