Automatic recognition of speech using optimal search
نویسندگان
چکیده
منابع مشابه
Optimal selection of speech data for automatic speech recognition systems
This paper presents a method designed to select a limited set of maximally information rich speech data from a database for optimal training and diagnostic testing of Automatic Speech Recognition (ASR) systems. The method uses Principal Component Analysis (PCA) to map the variance of the speech material in a database into a low-dimensional space, followed by clustering and a selection technique...
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This paper presents an extended study in the topic of optimal selection of speech data from a database for efficient training of ASR systems. We reconsider a method of optimal selection introduced in our previous work and introduce variosearch as an alternative selection method developed in order to find a representative sample of speech data with a simultaneous control of acoustical and statis...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1974
ISSN: 0001-4966
DOI: 10.1121/1.1914089