Thesis Details
Fixed-point implementace rozpoznávače řeči
Master thesis is related to the problematics of automatic speech recognition on systems with restricted hardware resources - embedded systems. The object of this work was to design and implement speech recognition system on embedded systems, that do not contain floating-point processing units. First objective was to choose proper hardware architecture. Based on the knowledge of available HW resources, the recognition system design was made. During the system development, optimalization was made on constituent elements so they could be mounted on chosen HW. The result of the the project is successful recognition of Czech numerals on embedded system.
speech recognition, embedded systems, DSP, fix-point recognition, Viterbi algorithm, Hidden Markov Models, MFCC, feature extraction
@mastersthesis{FITMT5305, author = "Tom\'{a}\v{s} Kr\'{a}l", type = "Master's thesis", title = "Fixed-point implementace rozpozn\'{a}va\v{c}e \v{r}e\v{c}i", school = "Brno University of Technology, Faculty of Information Technology", year = 2007, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/5305/" }