Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/40513
Title: Speech recognition on the speechdat-car database
Authors: Bimas Winahyu Aji
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Issue Date: 2008
Source: Bimas Winahyu Aji. (2008). Speech recognition on the speechdat-car database. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: The SpeechDat-Car database was built in the framework of the SpeechDat-Car project (European Union founded). The availability of the database allows the development of the speech recognition applications in mobile device under severe condition of car environment. A speaker-independent continuous Hidden Markov hlodel (CHMM) algorithm for speech recognition is to be produced in the project. To achieve this ob- jective, the CHMM system adaptations and testings on the SpeechDat-Car database would be investigated. This is done by first understanding the algorithm and evaluating both the front end and back end of the system, and then, modifying the algorithm for obtaining better performance. As the final algorithm adopted would be ported to a selected DSP, as given in the system specification, the work also focuses on algorithms with low computational cost and memory consumption.
URI: https://hdl.handle.net/10356/40513
DOI: 10.32657/10356/40513
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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