Voice Activity Detection and Keyword Spotting System on Embedded Platform

• Main Authors: Cun-Zhi Deng, 鄧存智
• Other Authors: Sin-Horng Chen
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/39049943250279766666

碩士 === 國立交通大學 === 電信工程系所 === 96 === In this thesis, an embedded isolated Mandarin word recognition system and keyword spotting were implemented in a Windows-CE based mobile device. The speech recognition system used a HMM recognizer using partition Lapalacian observation probability. The system was carefully tuning in order to get the near real-time response without performance degeneration. Finally, the isolated Mandarin word recognition system, the system response time is about 1.2 times real time and 95.8% word recognition rate can be achieved for a 1000 words application, in the other hand, keyword spotting response time is 1.8 real time and 91.6% recognition rate for a 776 words.