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Robust Speaker Verification
Profant, Ján ; Novotný, Ondřej (referee) ; Matějka, Pavel (advisor)
The goal of this paper is to analyze the impact of codec degraded speech on a state-ofthe-art speaker recognition system. Two feature extraction techniques are analyzed - Mel Frequency Cepstral Coefficients (MFCC) and the state-of-the-art system using Bottleneck features together with MFCC. Speaker recognition system is based on i-vector and Probabilistic Linear Discriminant Analysis (PLDA). We compared scenarios where PLDA is trained only on clean data, then system where we added also noise and reverberant data, and at last, codec degraded speech. We evaluated the systems on the matched conditions (data from the same codec are seen with PLDA) and also mismatched conditions (PLDA does not see any data from the tested codec). We experimented also with recently introduced technique for channel adaptation - Within-class Covariance Correction (WCC). We can see clear benefit of adding transcoded data to PLDA or WCC (with approximately same gain) for both tested conditions (matched and mismatched).
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Internet Voice Search
Belobrad, Michal ; Matějka, Pavel (referee) ; Schwarz, Petr (advisor)
This thesis is concerned with creating applications for touchscreen phones with the operating system Bada. The objective of this application is to allow users to search the web using their voice. We introduce with Samsung Wave for which this application was developed. In addition we look at the results of the recognizer processing, auto-complete, and their combination.
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Analysis of Telephone Call of Two People
Herceková, Monika ; Schwarz, Petr (referee) ; Matějka, Pavel (advisor)
This thesis deals with analysis of two people's phone call. It describes possible ways of speech and silence appearence in record and reasons criteria for listening the record. There is implemented prototype of application suggested in the thesis for analysis of telephone call. There are introduced possible extensions of the work at the end of the thesis.
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Voice Activity Detection
Břenek, Roman ; Grézl, František (referee) ; Matějka, Pavel (advisor)
This thesis describes techniques for voice activity detection in audio recordings. It is necessary to correctly classify all non-speech segments and recognize speech with noisy background. The whole process of voice activity detection (VAD) is described in this thesis, i.e. digitizing audio signal, feature extraction, training of the system, post-processing and final evaluation. There are three different systems compared within the thesis . The first one is based on phoneme recognition using neural network, the other two are variations of Gaussian Mixture Models (GMM). Each system was tested on three data sets - Tactical Speaker Identification Speech Corpus (TSID), Ham Radio (HR) and Rich Transcription Evaluation (RT05-RT07). The best results of each system are compared with the results of the third side.
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Computer Graphics and Video Features for Speaker Recognition
Fér, Radek ; Matějka, Pavel (referee) ; Černocký, Jan (advisor)
We describe a non-traditional method for speaker recognition that uses features and algorithms used mainly for computer vision. Important theoretical knowledge of computer recognition is summarized first. The Boosted Binary Features are described and explored as an already proposed method, that has roots in computer vision. This method is evaluated on standard speaker recognition databases TIMIT and NIST SRE 2010. Experimental results are given and compared to standard methods. Possible directions for future work are proposed at the end.
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Text Dependent Speaker Verification
Fux, Jan ; Glembek, Ondřej (referee) ; Matějka, Pavel (advisor)
The goal of this Bachelor's thesis was to design text dependent speaker recognition system. There were few systems tested for MIT database. This database contains recordings of 0.46s average length. Best case for recognition is to use a combination of DTW system using posterior probability estimation (posteriograms) as an output of Phoneme recognizer and acoustic SID system based on iVectors and PLDA (Probabilistic Linear Component Analysis). Fusion with Neural network gives the best results (EER). These are 17.84% EER for women and 16.38% for men. It's 49.9% relative improvement for women and 54.2% for men against acoustic recognition alone.
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Automatic Creation of Dictionaries from Translations
Svoboda, František ; Matějka, Pavel (referee) ; Smrž, Pavel (advisor)
Goal of this thesis is to implement system, capable of extracting bilingual dictionaries from parallel texts. Reader may find examples of how to obtain such documents and description of steps leading to successfull acquirement of desired information. Mainly statistical machine translation methods were examined and used for this purpose. Besides description of created system, short analysis of problems linked with the subject can be found as well as evaluation of results.
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Web as a Source for Automatic Creation of Morphological Dictionary
Bulka, Pavol ; Matějka, Pavel (referee) ; Smrž, Pavel (advisor)
Creation of natural language words is based on rules, which are generally complex. Often it is very difficult or even impossible to describe them precisely in a formal way. That is why we use a morphological dictionary to process natural language. In this paper we discuss the creation of morphological dictionary from Slovak's top level domain web. We talk about web crawling, data processing for morphological analysis and data structures too. This document makes basic principle and conception of morphological analysis clear. Final system, which is described in this thesis, produces morphological dictionary. This dictionary can be use in various application, for example spell checker, machine translation and so on.
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Home Information System
Knyrevich, Michail ; Matějka, Pavel (referee) ; Szőke, Igor (advisor)
This bachelor's thesis involves the development of the Informational system for home, especially its Energy module. Some existing informational systems of this topic are analyzed there. Further, there is a formal concept of self Energy module , which is based on gained information. The part of this concept is prediction system of energetic expenses, which uses a weather monitoring. Realization and testing with usage of web technologies (especially the Zend Framework) are placed at the end of my thesis.
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