Support vector machine with dynamic shifting window for continuous speech recognition

• 主要な著者: Ahmad, Abdul Manan, Salam, Md. Sah, Samaon, Den Fairol
• フォーマット: Conference or Workshop Item
• 出版事項: 2006
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/25604/; http://comp.utm.my/pars/files/2013/04/SUPPORT-VECTOR-MACHINES-WITH-DYNAMIC-SHIFTING-WINDOW-FOR-CONTINUOUS-SPEECH-RECOGNITION.pdf

Support Vector Machine (SVM) is excellence in classification owing to its discriminative trait. Automatic speech recognition (ASR), amongst many areas in pattern recognition could well benefit from this phenomenon. Conventional method applied in continuous speech recognition (CSR) uses frame-based s...