Language detection by neural discrimination
نویسندگان
چکیده
In this paper, we present a new method of language detection. This method is based on language pair discrimination using neural networks as classifier of acoustic features. No acoustic decomposition of the speech signal is needed. We present an application of our method for the detection of 11 languages for a signal duration of 3 seconds (OGI MLTS corpus). The obtained results highlight scores ranging from 75.1% to 82% according to the language processed.
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تاریخ انتشار 2004