Dynamic features for segmental speech recognition
نویسندگان
چکیده
Another important issw in speech recognition has ken to identify the best feanrre subset &om a large number of features. In a given feature set, it is unlikely that all the features will contribute equally to the task of recognition and this becomes more true as the feature set grows. Methods of Liarar DiJcriminatve Analysis aim to identify the featurrs OT combinations of features which are the most important fOr mogiition. hthemntextofthepresentwork,aristingmethods of Linear Discriminative Analysis arc applied to the new feature sct to cxplork the potential of thesc methods of discriminati on
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بهبود عملکرد سیستم بازشناسی گفتار پیوسته بوسیله ویژگیهای استخراج شده از مانیفولدهای گفتاری در فضای بازسازی شده فاز
The design for new feature extraction methods out of the speech signal and combination of their obtained information is one of the most effective approaches to improve the performance of automatic speech recognition (ASR) system. Recent researches have been shown that the speech signal contains nonlinear and chaotic properties, but the effects of these properties are not used in the continuous ...
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