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Detection of speech disorders
Struhař, Michal ; Rajmic, Pavel (referee) ; Sysel, Petr (advisor)
This thesis deals with detection of speech disorders. One of the aims of this thesis is choosing suitable parameterization: short-time energy, zero-crossing rate, linear predictive analysis, perceptual linear predictive analysis, RASTA method, cepstral analysis and mel-frequency cepstral coefficient can be chosed for detections. Next aim is construction of detector of speech disorders based on DTW (Dynamic Time Warping) and artificial neuron network. Single detection proceeds on the base of collected tokens from chosen analysis and phonetic transcription of speech. Analyses, detector and phonetic transcription of Czech language are implemented in simulation environment of MATLAB.
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Speech Recognition (digit)
Kantar, Martin ; Minář, Petr (referee) ; Matoušek, Radomil (advisor)
The aim of this diploma thesis is to explain what speech is and what are its constituents. I mention commonly used methods which are used for preparation of signals which we use for recognition. Schematic examples show principles of current recognizers of speech, their advantages and disadvantages. I made speech recognition program for 0-9 numerals in Matlab for neural nets learning.
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Voice commands recognition in audiosignal
Šrámek, Martin ; Grepl, Robert (referee) ; Krejsa, Jiří (advisor)
You are holding in your hands the Bachelor thesis which deals with design and realizing of isolated voice recognition system. The motivation of this thesis was an interest in remote control of robotic mechanisms by voice and a research of speech signal processing. It is widely developed these days. The thesis is divided into two parts. The first one is concerned with summarizing of recognition knowledge, in the second one this knowledge is used in design of a system.
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Forms of text data input and processing in business information systems - trends and current practices
Válková, Jana ; Stanovská, Iva (advisor) ; Hais, Petr (referee)
This thesis introduces readers to the basic types of the text and information inputs and processing to the computer. Thesis also includes historical contexts, current trends and future perspective of computer data input technologies and their use in practice. The first part of the thesis is a summary of a particular forms of entering and processing of the text data and information. The following part presents technological trends on the market concentrated on the automatic speech recognition systems along with the possibilities of their application in the business sphere. The rest of the thesis consists of a survey between Czech IT companies and based on it's results comes a suggestion of which technologies should be used as a part of the information systems.
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Computer voice control
OSTRÝ, Lukáš
Today, it is placed increasing emphasis on alternative communication with the computer. Voice control is probably the easiest way to control your computer, for those who do not have somehow equipped. Word of equipment are meant groups of people for whom traditional communication with computers inappropriate. The main groups are physically and mentally disabled, children and old people. For disabled and elderly people a problem is physical disabilities such as blindness, or a problem with the limbs. In children and mentally handicapped is a problem in the complexity of control. Voice control is nowadays no longer technically possible, but still appears more interested in the subject. It would therefore be advantageous to start teaching this issue in primary schools and help expand interest in this issue.
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Použití rozpoznávání řeči a rýmových testů k hodnocení českých systémů pro zpracování řeči
Vích, Robert ; Nouza, Jan
Speech intelligibility is the most important parameter of speech quality. In the contribution a new objective intelligibility assessment of speech processing algorithms, e.g., speech coding, synthesis, enhancement, conversion, is proposed. It is based on automatic speech recognition of rhyme tests. The idea is illustrated by comparison with listening evaluation of Czech rhyme tests and is applied for intelligibility assessment of Czech text-to-speech system and voice conversion.
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Lze použít automatické rozpoznávání řeči k hodnocení kvality řeči?
Nouza, Jan ; Vích, Robert ; Vondra, Martin
In the contribution several case studies are presented in which automatic speech recognition was tested as a means for evaluating of speech quality, either human or synthetic. Usually, speech quality is measured by subjective listening tests. Our aim is to investigate, whether these tests, which request considerable amount of human time and experience, could be replaced or supplemented by techniques based on ASR.
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Použití RLPC inventářů systému Festival v Eposu
Chaloupka, Zdeněk ; Horák, Petr
The aim of this paper is to describe a possibility of the new voices implementation into the Epos text-to-speech (TTS) system. We implemented voices from the Festival TTS system. This system synthesizes text from speech units, which are stored in an inventory file as Residual Linear Prediction Coding (RLPC) coefficients. The inventory file provides every information needed for the text synthesis. The text is synthesized in the MROLA format, thus a phoneme length (and a prosody) can be determined directly.
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Hodnocení změny hlasu v TTS systému s kepstrálním popisem
Přibil, Jiří ; Přibilová, Anna
Voice conversion, i.e. modification of a speech signal to sound as if spoken by a different speaker, finds its use in speech synthesis with a new voice without necessity of a new database. It is very useful in special aids for blind and partially sighted people, e.g. Braille notetaker based on the Pocket PC. This paper evaluates voice conversion implemented in the Czech and Slovak text-to-speech (TTS) system based on cepstral description of speech database using the source-filter speech model.
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Czech-speaking artificial face
Chaloupka, J. ; Nouza, J. ; Přibil, Jiří
This paper describes an artificial face that can speak and articulate Czech. It employs the computer-controlled 3D model of virtual head, know as Baldi, which was developed in USA for communication in English. Here we present methods and algorithms that allowed us to use Baldi with Czech spoken language, both synthesised as well as natural. The methods are based on speech synthesis and speech recognition techniques.
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