Language-independent, short-enrollment voice verification over a far-field microphone

• Published in: 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221) Vol. 1; pp. 445 - 448 vol.1
• Main Authors: Bellegarda, J.R., Naik, D., Neeracher, M., Silverman, K.E.A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Application software; Authentication; Error analysis; Hidden Markov models; Information analysis; Loudspeakers; Microcomputers; Microphones; Natural languages; Speech processing
• ISBN: 0780370414; 9780780370418
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2001.940863

An approach is presented for the dual verification of speaker identity and verbal content in a text-dependent voice authentication system. The application considered is desktop voice login over a far-field microphone. Each speaker is allowed to select his or her own keyphrase, and enrollment is limited to four instances of the keyphrase, each 1 to 2 seconds of speech. The approach decouples the analysis of speaker and verbal content information, so as to use two light-weight components for verification: a spectral matching component based on a global representation of the entire utterance, and a temporal alignment component based on more conventional frame-level information. The resulting integration is language-independent, and experiments with deliberate imposture show an equal error rate figure of approximately 4%. The approach has been commercially deployed in the "VoicePrint Password" feature of MacOS 9.