The Influence of the Interlocutor’s Gender on the Speaker’s Role Identification

Anat Lerner, Oren Miara, Sarit Malayev, Vered Silber-Varod

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء


The objective of the current on-going research is to automatically identify the role played by a speaker in a dialogue, and to explore potential conditions that might impose higher speaker’s role identification. We use an interactive Map Task setup with two potential roles: followers and leaders, where each speaker participated twice thus acting in both roles with the same interlocutor. The paper aims to identify speaker’s role, and to explore potential influence of the gender of the speaker, the gender of the interlocutor, and the order of the roles played by the speaker. By using deep learning procedures over a set of acoustic features, we automatically trace the footprints of the role through the speech signal. Results show an average of 73.3% role’s classification rate. We further show that there is a significant difference in the role’s classification rates, depending on the interlocutor’s gender. On average, when the interlocutor is a male, the speaker tends to identify with his or her role more clearly – 77.5% versus 69.9% when the interlocutor is a woman.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفSpeech and Computer - 20th International Conference, SPECOM 2018, Proceedings
المحررونRodmonga Potapova, Oliver Jokisch, Alexey Karpov
ناشرSpringer Verlag
عدد الصفحات10
رقم المعيار الدولي للكتب (المطبوع)9783319995786
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 2018
الحدث20th International Conference on Speech and Computer, SPECOM 2018 - Leipzig, ألمانيا
المدة: ١٨ سبتمبر ٢٠١٨٢٢ سبتمبر ٢٠١٨

سلسلة المنشورات

الاسمLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
مستوى الصوت11096 LNAI
رقم المعيار الدولي للدوريات (المطبوع)0302-9743
رقم المعيار الدولي للدوريات (الإلكتروني)1611-3349


!!Conference20th International Conference on Speech and Computer, SPECOM 2018

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Publisher Copyright:
© 2018, Springer Nature Switzerland AG.


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