Applications of Speaker Identification for Universal Access

被引：0

作者：

Kinkiri, Saritha ^{[1
]}

Keates, Simeon ^{[2
]}

机构：

[1] Univ Greenwich, Chatham ME7 1PQ, Kent, England

[2] Edinburgh Napier Univ, Edinburgh EH11 4DY, Midlothian, Scotland

来源：

UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION. APPLICATIONS AND PRACTICE, UAHCI 2020, PT II | 2020年 / 12189卷

关键词：

Human speech; Speaker identification; Biometric; Applications;

D O I：

10.1007/978-3-030-49108-6_40

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Speaker Identification is the process of a machine identifying who is speaking automatically based solely on the voice of the person speaking. Recognising a person in a meeting room or on telephone, purely from their voice is an important and interesting research challenge. The voice is one of the human biometric properties. Recognition of a particular person's voice can be used in different applications such as: unlocking an office door, marking student or employee attendance, monitoring elderly people's health, online banking services, or helping people with dementia to be able to identify a who is speaking. This paper explores a range of such applications and discusses how emerging technologies can be used to support a variety of users in a series of different contexts of use.

引用

页码：557 / 567

页数：11

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