A combinational method for Robust Speech Recognition Using Microphone Array and Neural Network
محل انتشار: دومین کنفرانس ملی مهندسی برق
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,842
فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
این مقاله در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
NEEC02_190
تاریخ نمایه سازی: 7 بهمن 1388
چکیده مقاله:
This paper describes use of integrated systems of microphone arrays and neural networks for robust speech recognition in variable acoustic environments, where the user must not be encumbered by microphone equipments. Speech recognition systems can operate best for "high-quality closetalking speech."However when the acoustical, articulator, or phonetic characteristics of speech in the training and testing environments differ, Performance of the recognizers is typically decreased by environmental interference and mismatch in training conditions and testing conditions. It is found that use of microphone arrays and neural network processors can increase the performance of existing speech recognizers in an adverse acoustic environment, thus avoiding the need to retrain the recognizer, a complex and tedious task. We also present
results showing that a system of microphone array and neural network can achieve a higher word recognition accuracy in an unmatched training/testing condition than that obtained with a retrained speech recognizer using array speech for both training and testing, i.e., a matched training/testing condition.
کلیدواژه ها:
نویسندگان
Farhad Navabifa
Faculty of Electrical Engineering University Technology Malaysia
Mehran Emadi
Department of Computer Engineering, Islamic Azad University, Mobarakeh Branch, Mobarakeh, Iran