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Implementation of Simple Speech Recognizer in a Web Browser
Crkoň, Jakub ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
The goal of this project is to implement simple speech recognizer for web browser. This paper describes fundamental components required for implementing speech recognizer and techniques which are used for optimization process of speech recognition in web browser. At first, the paper focuses on introduction of speech recognition theory. It describes individual parts and principles of speech recognizer. In next section, thesis describes design, implementation and principles of acceleration of speech recognizer with limited computing resources of web browser. The implementation is divided into modules making up the library for usage in web browser. The library is easily extendable and usable in various web applications. Finally, it discusses potential directions of development and usability of this project.
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Dynamic Decoder for Speech Recognition
Veselý, Michal ; Glembek, Ondřej (referee) ; Schwarz, Petr (advisor)
The result of this work is a fully working and significantly optimized implementation of a dynamic decoder. This decoder is based on dynamic recognition network generation and decoding by a modified version of the Token Passing algorithm. The implemented solution provides very similar results to the original static decoder from BSCORE (API of Phonexia company). Compared to BSCORE this implementation offers significant reduction of memory usage. This makes use of more complex language models possible. It also facilitates integration the speech recognition to some mobile devices or dynamic adding of new words to the system.
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Implementation of Simple Speech Recognizer in Android
Čuba, Eduard ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
The goal of this project is to implement speech recognition software for Android platform. This paper outlines fundamental components of a speech recognizer and reviews the techniques used to optimize the process of speech recognition on Android devices. Firstly, it examines the implementation of the acoustic feature extraction and phoneme estimation processes. Then, it describes the design and implementation of a decoder used to process phoneme estimations into transcription, utilizing only limited resources of a mobile device. The project is divided into several modules, forming an Android library, which should be easy to extend and can be provided with custom models tailored for the desired use. Later, this paper discloses various approaches to modeling abstract data structures for recognition network representation, as well, as the ways of further development and applications of this project.
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Implementation of Simple Speech Recognizer in a Web Browser
Crkoň, Jakub ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
The goal of this project is to implement simple speech recognizer for web browser. This paper describes fundamental components required for implementing speech recognizer and techniques which are used for optimization process of speech recognition in web browser. At first, the paper focuses on introduction of speech recognition theory. It describes individual parts and principles of speech recognizer. In next section, thesis describes design, implementation and principles of acceleration of speech recognizer with limited computing resources of web browser. The implementation is divided into modules making up the library for usage in web browser. The library is easily extendable and usable in various web applications. Finally, it discusses potential directions of development and usability of this project.
|
|
|
Implementation of Simple Speech Recognizer in Android
Čuba, Eduard ; Glembek, Ondřej (referee) ; Szőke, Igor (advisor)
The goal of this project is to implement speech recognition software for Android platform. This paper outlines fundamental components of a speech recognizer and reviews the techniques used to optimize the process of speech recognition on Android devices. Firstly, it examines the implementation of the acoustic feature extraction and phoneme estimation processes. Then, it describes the design and implementation of a decoder used to process phoneme estimations into transcription, utilizing only limited resources of a mobile device. The project is divided into several modules, forming an Android library, which should be easy to extend and can be provided with custom models tailored for the desired use. Later, this paper discloses various approaches to modeling abstract data structures for recognition network representation, as well, as the ways of further development and applications of this project.
|
|
|
Dynamic Decoder for Speech Recognition
Veselý, Michal ; Glembek, Ondřej (referee) ; Schwarz, Petr (advisor)
The result of this work is a fully working and significantly optimized implementation of a dynamic decoder. This decoder is based on dynamic recognition network generation and decoding by a modified version of the Token Passing algorithm. The implemented solution provides very similar results to the original static decoder from BSCORE (API of Phonexia company). Compared to BSCORE this implementation offers significant reduction of memory usage. This makes use of more complex language models possible. It also facilitates integration the speech recognition to some mobile devices or dynamic adding of new words to the system.
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