Subject of this Master´s thesis is analysis and vocal characterization of female roles in the opera Don Giovanni, composed by Wolfgang Amadeus Mozart. I decided to divide this subject into several principal parts. Initially I would like to overview the life and work of the author himself. The next part of this thesis examines the opera as whole; its history of origin, plot issues, characters, performance traditions and main differences between traditional interpretations. As next I would like to address female characters in Don Giovanni opera. Finally this paper presents a deep analysis of the three main female characters of the opera with emphasis on vocal characterization and interpretation of their famous representatives. Finally this paper describes general classification of voice types, discuss the overall problematics of tone and voice production and also evaluate the mechanics and functionality of vocal chords from the physiological point of view.

This thesis presents a development of an English spoken dialogue system based on the Alex dialogue system framework. The work describes a component adaptation of the framework for a different domain and language. The system provides public transport information in New York. This work involves creating a statistical model and the deployment of custom Kaldi speech recognizer. Its performance was better in comparison with the Google Speech API. The comparison was based on a subjective user satisfaction acquired by crowdsourcing. Powered by TCPDF (www.tcpdf.org)

The basic aim of the thesis was testing the role of song length and syllable rate in male {--} male interactions in chiffchaff (Phylloscopus collybita). I looked for correlations between morphological measurements and vocal characteristics. I also presented stimuli manipulated in length and syllable rate to the chiffchaff males in the field playback experiments.

This thesis deals with VideoIVR issue. Its main purpose is to provide a holistic view on the service through the description of components and relevant case studies. Content in this work is divided into four chapters. First and third chapter are informal and explain what IVR and VideoIVR is. Second chapter is focused on one of service's administration tools. Fourth chapter breaks down project plan of VideoIVR implementation and benefits that arise from employment of an automated system.

In this study I investigate for two consecutive breeding seasons male calling patterns in natural population of European treefrog (Hyla arborea), a hylid frog with prolonged breeding season and a lek mating system. I tested the hypothesis that males modify their vocal behavior in different ways when faced with stimuli of competitors with various body size. Further here, the influence of water temperature and size of advertising males on their call properties were concerned.

Title: Voice controlled electronic health record in dentistry Author: MUDr. Radek Hippmann Department: Department of paediatric stomatology, Faculty hospital Motol Supervisor: Prof. MUDr. Taťjana Dostalová, DrSc., MBA Supervisor's e-mail: Tatjana.Dostalova@fnmotol.cz This PhD thesis is concerning with development of the complex electronic health record (EHR) for the field of dentistry. This system is also enhanced with voice control based on the Automatic speech recognition (ASR) system and module for speech synthesis Text-to- speech (TTS). In the first part of the thesis is described the whole issue and are defined particular areas, whose combination is essential for EHR system creation in this field. It is mainly basic delimiting of terms and areas in the dentistry. In the next step we are engaged in temporomandibular joint (TMJ) problematic, which is often ignored and trends in EHR and voice technologies are also described. In the methodological part are described delineated technologies used during the EHR system creation, voice recognition and TMJ disease classification. Following part incorporates results description, which are corresponding with the knowledge base in dentistry and TMJ. From this knowledge base originates the graphic user interface DentCross, which is serving for dental data...

The master's thesis describes working procedures of the pharmaceutical warehousing and distribution, analyses actual methods of communication and identification and shows the weaknesses of this system. The work offers possible innovations, actual trends in the field of the automatic identification, warehouse management and proposes taking advantage of combination of voice recognition and bar-codes system. The thesis describes the new technology implementation, continuing the current practice and update of standard operating procedures.

This work identifies the causes for unsatisfactory reliability of contemporary systems for automatic speech recognition when deployed in demanding conditions. The impact of the individual sources of performance degradation is documented and a list of known methods for their identification from the recognized signal is given. An overview of the usual methods to suppress the impact of the disruptive influences on the performance of speech recognition is provided. The essential contribution of the work is the formulation of new approaches to constructing acoustical models of noisy speech and nonstationary noise allowing high recognition performance in challenging conditions. The viability of the proposed methods is verified on an isolated-word speech recognizer utilizing several-hour-long recording of the real operating room background acoustical noise recorded at the Uniklinikum Marburg in Germany. This work is the first to identify the impact of changes in speaker’s vocal effort on the reliability of automatic speech recognition in the full vocal effort range (i.e. whispering through shouting). A new concept of a speech recognizer immune to the changes in vocal effort is proposed. For the purposes of research on changes in vocal effort, a new speech database, BUT-VE1, was created.

This thesis follows the trend of last decades in using neural networks in order to detect speech in noisy data. The text begins with basic knowledge about discussed topics, such as audio features, machine learning and neural networks. The network parameters are examined in order to provide the most suitable background for the experiments. The main focus of the experiments is to observe the influence of various sound events on the speech detection on a small, diverse database. Where the sound events correlated to the speech proved to be the most beneficial. In addition, the accuracy of the acoustic events, previously used only as a supplement to the speech, is also a part of experimentation. The experiment of examining the extending of the datasets by more fairly distributed data shows that it doesn't guarantee an improvement. And finally, the last experiment demonstrates that the network indeed succeeded in learning how to predict voice activity in both clean and noisy data.

This diploma thesis deals with the accessibility of a voice user interface (VUI) for digitally illiterate people. The first part summarizes the principles of VIU design, the standardized methods of usability evaluation and analyzes empirical studies of the accessibility of VUI. The second part of the thesis describes in detail the proposed experiment which uses the OZ method. It deals with the segmentation of digitally illiterate people and describes their typical representatives. The third part is devoted to the analysis of the research results, the evaluation of the usability of interaction systems and analyzes recorded dialogues between participants and the prototype of the voice user interface. The last part discusses the results of the research and formulates preliminary conclusions on the accessibility of VUI for digitally illiterate persons. In addition to the preliminary conclusions, the product of this work presents new hypotheses concerning this specific area of human-computer interaction. Keywords human computer interaction, voice user interface, digital literacy, accessibility, usability 1