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Language Modeling for Spech Recognition in Czech
Mikolov, Tomáš ; Černocký, Jan (referee) ; Smrž, Pavel (advisor)
This work concerns the problematic of language modeling in automatic speech recognition. Currently widely used techniques for advanced language modeling based on statistical approach are described in the first part of work - class based language models, factored language models and neural network based language models. In the next section, implementation of neural network based language model is described. Results obtained on "Pražský mluvený korpus" and "Brněnský mluvený korpus" corpora (1 170 000 words) are reported, with perplexity reduction around 20%. Also, results obtained after rescoring N-best lists with spontaneous speech are reported, with absolute improvement in accuracy by more than 1%. In the conclusion, possible uses of the work are mentioned, along with possible extensions in the future. Finally, main weaknesses of current statistical language modeling techniques are described.
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Modelling Emotions in Communication Agents
Sivák, Martin ; Černocký, Jan (referee) ; Smrž, Pavel (advisor)
This work deals with current chatterbot systems. It describes problems and possibilities of improvement with emphasis on natural language processing and emotion modeling during conversation. There is an implementation, based on the described knowledge, introduced in the second part of the thesis, also with experimental success rate evaluation.
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Searching in Speech Data
Fapšo, Michal ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
This thesis describes a designed and implemented system for efficient storage, indexing and search in collections of spoken documents that takes advantage of automatic speech recognition. As the quality of current speech recognizers is not sufficient for a great deal of applications, it is necessary to index the ambiguous output of the recognition, i.\,e. the acyclic graphs of word hypotheses -- recognition lattices. Then, it is not possible to directly apply the standard methods known from text--based systems. This paper discusses an optimized indexing system for efficient search in the complex and large data structures which are the output of the recognizer.
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Search in Music Signals
Skála, František ; Szőke, Igor (referee) ; Černocký, Jan (advisor)
This work contains overview of methods used in the area of Music Information Retrieval, mainly for purposes of searching of musical recordings. Several existing services in the areas of music identification and searching are presented and their methods for unique song identification are described. This work also focuses on possible modifications of these algorithms for searching of cover versions of songs and for the possibility of searching based on voice created examples.
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Speaker Recognition Based on Long Temporal Context
Fér, Radek ; Matějka, Pavel (referee) ; Černocký, Jan (advisor)
Tato práce se zabývá extrakcí vhodných příznaků pro rozpoznávání řečníka z delších časových úseků. Po představení současných technik pro extrakci takových příznaků navrhujeme a popisujeme novou metodu pracující v časovém rozsahu fonémů a využívající známou techniku i-vektorů. Velké úsilí bylo vynaloženo na nalezení vhodné reprezentace temporálních příznaků, díky kterým by mohly být systémy pro rozpoznávání řečníka robustnější, zejména modelování prosodie. Náš přístup nemodeluje explicitně žádné specifické temporální parametry řeči, namísto toho používá kookurenci řečových rámců jako zdroj temporálních příznaků. Tuto techniku testujeme a analyzujeme na řečové databázi NIST SRE 2008. Z výsledků bohužel vyplývá, že pro rozpoznávání řečníka tato technika nepřináší očekávané zlepšení. Tento fakt diskutujeme a analyzujeme ke konci práce.
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Hybrid Recognizer of Isoladed Words
Veselý, Karel ; Černocký, Jan (referee) ; Grézl, František (advisor)
The speaker independent isolated words recignizer has various practical applications. For example it can be used to control home gadgets by PC. Even more interesting is possibility that it can be built in the user interface of any application or even into operating system to perform command based control such as invocation of applications, or execution of any other specific action. The most remarkable application of isolated recognition is in electronical dictionaries. A voice controlled word lookup could be new feature of the next generation dictionaries. Very useful is the ability to ouptut ordered list of the most likely words, which gives the user ability to learn and distinguish similar words.
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Web-Based Demonstration of Linear Filtering
Novotný, Ondřej ; Bařina, David (referee) ; Černocký, Jan (advisor)
The aim of this work is to create a demonstration application of discrete linear filtering. The introductory section summarizes the theory of digital filtering and filter design. The following chapter describes the existing applets. Subsequently, the concept of the demonstration and its implementation are described. The final part contains tutorial examples of using the demonstration and summary of users' reactions.
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Melody Harmonization
Vlasák, Jaroslav ; Černocký, Jan (referee) ; Fapšo, Michal (advisor)
This bachaleor's thesis is focused on an automatic harmonization of melody. The implemented system is using a machine learning approach and learning the harmony principles from the database of MIDI files. The input of the system could be monophony songs in MIDI or ABC format. The output of the system are polyphony songs in MIDI format harmonized in the style of protestant chorale.
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Sound Creation Using VST
Švec, Michal ; Schimmel, Jiří (referee) ; Černocký, Jan (advisor)
This diploma thesis deals with digital sound synthesis. The main task was to design and implement new sound synthesizer. Created tool uses different approaches to the sound synthesis, so it can be described as a hybrid. Instrument design was inspired by existing audio synthesizers. For implementation, C++ language and VST technology from Steinberg are used. As an extension, a module, that can process voice or text input and then build a MIDI file with melody (which can be interpreted with using any synthesizer) was designed and implemented. For this module, Python language is used. For the synthesizer, a simple graphical user interface was created.
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