On leveraging conversational data for building a text dependent speaker verification system

Hagai Aronowitz, Oren Barkan

نتاج البحث: نشر في مجلةمقالة من مؤنمرمراجعة النظراء

ملخص

Recently we have investigated the use of state-of-the-art textindependent and text-dependent speaker verification algorithms for a text-dependent user authentication task and obtained satisfactory results mainly by using a fair amount of text-dependent development data. In our study, best results were obtained using the NAP framework rather than using the more advanced JFA and i-vector-based frameworks. In this work we investigate the ability to build high accuracy i-vectorbased systems by leveraging widely available conversational data. We explore various techniques for transforming conversational sessions in such a way that attributes which are more relevant to the text-dependent task are enhanced. Using these techniques we managed to reduce verification error significantly.

اللغة الأصليةالإنجليزيّة
الصفحات (من إلى)2470-2473
عدد الصفحات4
دوريةProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
حالة النشرنُشِر - 2013
منشور خارجيًانعم
الحدث14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013 - Lyon, فرنسا
المدة: ٢٥ أغسطس ٢٠١٣٢٩ أغسطس ٢٠١٣

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