Projects, Thesis, Final Year Projects, IT, MBA, Seminar

Paper Presentation On Automatic Speaker Recognition System For EEE


Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to user's voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, security control for confidential information areas, and remote access to computers.The goal of this project is to build a simple, yet complete and representative automatic speaker recognition system. Due to the limited space, we will only test our system on a very small (but already non-trivial) speech database. There were 8 female speakers, labeled from S1 to S8. All speakers uttered the same single digit "zero" once in a training session and once in a testing session later on. Those sessions are at least 6 months apart to simulate the voice variation over the time. The vocabulary of digit is used very often in testing speaker recognition because of its applicability to many security applications. For example, users have to speak a PIN (Personal Identification Number) in order to gain access to the laboratory door, or users have to speak their credit card number over the telephone line. By checking the voice characteristics of the input utterance, using an automatic speaker recognition system similar to the one that we will develop, the system is able to add an extra level of security.

Projects, Thesis, Final Year Projects, IT, MBA, Seminar

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