Abstract
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.
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Kinkiri, S., Keates, S. (2020). Applications of Speaker Identification for Universal Access. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Applications and Practice. HCII 2020. Lecture Notes in Computer Science(), vol 12189. Springer, Cham. https://doi.org/10.1007/978-3-030-49108-6_40
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DOI: https://doi.org/10.1007/978-3-030-49108-6_40
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