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Nonverbal communication focused on gestures accompanying speech.
Bednaříková, Nikola ; Škvařilová, Božena (advisor) ; Blažek, Vladimír (referee)
In this thesis, gesticulation is presented in a context of nonverbal communication. It is likely that gestures preceded the birth of an articulated speech. Nevertheless even in the present, people convey information via gesticulation to their surroundings. This ability can be found at small children, gestures play the role of a speech precursor there. Human language is a codified form of diction. We can see every word as a symbol. The formal layout is available even for gesture communication. This happens in case that gesticulation stands for speech. If you want to share your thoughts via symbols it is relatively complicated. People can present their opinions and thoughts by gestures thought, that they do not have a stable form. These usually accompany a verbal speech. Gesticulation has a significance for both speakers and listeners. Benefits were formulated separately for each of them. It helps the speaker to keep his speech fluent, to decrease the cognitive strain and makes easier for him to formulate ideas, which he can not to express in words. The listener gains information about the topic, that he is told about. On top of this, gestures can express different information, that are not involved in verbal speech. This discrepancy between arm movements and speech is beneficial for both communicating partners.
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Database of recordings for detection of voice activity
Pelikán, Pavel ; Hudec, Antonín (referee) ; Míča, Ivan (advisor)
This thesis deals with voice activity detection (VAD) and requirements for creating a speech database. One of the existing tools for marking recordings was chosen. On the basis of the gained knowledge, database of isolated words, sentences, text and spontaneous speech was created. The practical part consists of a detailed description of database and mark creation. Furthermore, the thesis deals with the conversion of marks into Matlab. There are also some auxiliary scripts for operations with marks. Prepared and a database was created in an anechoic chamber and includes recordings from 16 speakers.
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Comparison of analysis of speech in dependence on age and gender
Báňa, Josef ; Smékal, Zdeněk (referee) ; Atassi, Hicham (advisor)
This thesis deals with analysis of speech signal in dependence on the gender and the age of the speaker. We tried to investigate through the features to find the best set for the automatic classification of speakers. It also contains a brief discussion about the speech signal and its characteristics. We used a program called Praat for the speech analysis purpose. This program is also described in this work. We mainly focused on the suprasegmental features of speech. Our first step was to make our own speech corpus which should contain speech records from speakers with various age and gender. We made the analysis using Praat and reported it within this thesis. For the automatic classification purpose, twelve features were selected basing on there quality criteria and used with a neural network to classify the speakers to classes with different age and gender. As it was mentioned, a neural network was used as a classifier. We used “Neural Network Toolbox” in the Matlab program to create and train our networks.
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