Automatic Identification of Spoken Language
نویسندگان
چکیده
منابع مشابه
Automatic Spoken Language Identification Utilizing Acoustic and Phonetic Speech Information
Automatic spoken Language Identification (LID) is the process of identifying the language spoken within an utterance. The challenge that this task presents is that no prior information is available indicating the content of the utterance or the identity of the speaker. The trend of globalization and the pervasive popularity of the Internet will amplify the need for the capabilities spoken langu...
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15 صفحه اولMethods for Spoken Language Identification
In this paper, we explore several machine learning techniques for classifying spoken language. In particular, we construct algorithms which utilize various spectral features derived from English and Mandarin Chinese phone call audio to predict the language to which the phone call belongs. We investigate multiple feature sets and modeling approaches, and find that Gaussian Mixture Models, combin...
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Automatic language identification is the process by which the language of a digitized speech utterance is recognized by a computer. In this paper, we will describe the set of available cues for language identification and discuss the different approaches to building working systems. This overview includes a range of historic approaches, contemporary systems that have been evaluated on standard ...
متن کاملReview of Automatic Language Identification
Language identification is an area that has had research interest form some time now, and there are some good papers that have been written on this subject. Just a few of these papers have been highlighted in this paper. They discuss some of the different ways in which language identification can be implemented.
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ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2017
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-1902058489