Abstract
In this paper we investigate the capability of our self-learning speech controlled system comprising speech recognition, speaker identification and speaker adaptation to detect unknown users. Our goal is to enhance automated speech controlled systems by an unsupervised personalization of the human-computer interface. New users should be allowed to use a speech controlled device without the need to identify themselves or to undergo a time-consumptive enrollment. Instead, the system should detect new users during the operation of the device. New speaker profiles should be initialized and incrementally adjusted without any additional intervention of the user. Such a personalization of human-computer interfaces represents an important research issue. Exemplarily, in-car applications such as speech controlled navigation, hands-free telephony or infotainment systems are investigated. Results for detecting unknown speakers are presented for a subset of the SPEECON database.
This work was conducted at Harman-Becker. Tobias Herbig is now with Nuance Communications. Franz Gerl is now with SVOX.
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References
Rabiner, L., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliffs (1993)
Zavaliagkos, G., Schwartz, R., McDonough, J., Makhoul, J.: Adaptation algorithms for large scale hmm recognizers. In: EUROSPEECH 1995, pp. 1131–1135 (1995)
Herbig, T., Gerl, F., Minker, W.: Evaluation of two approaches for speaker specific speech recognition. In: Second International Workshop on Spoken Dialogue Systems Technology, IWSDS 2010 (2010) (to appear)
Herbig, T., Gerl, F., Minker, W.: Fast adaptation of speech and speaker characteristics for enhanced speech recognition in adverse intelligent environments. In: The 6th International Conference on Intelligent Environments, IE-2010 (2010) (to appear)
Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker verification using adapted gaussian mixture models. Digital Signal Processing 10(1-3), 19–41 (2000)
Reynolds, D.A.: Large population speaker identification using clean and telephone speech. IEEE Signal Processing Letters 2(3), 46–48 (1995)
Reynolds, D.A., Rose, R.C.: Robust text-independent speaker identification using gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing 3(1), 72–83 (1995)
Fortuna, J., Sivakumaran, P., Ariyaeeinia, A., Malegaonkar, A.: Open set speaker identification using adapted gaussian mixture models. In: INTERSPEECH 2005, pp. 1997– 2000 (2005)
Angkititrakul, P., Hansen, J.H.L.: Discriminative in-set/out-of-set speaker recognition. IEEE Transactions on Audio, Speech, and Language Processing 15(2), 498–508 (2007)
Schukat-Talamazzini, E.G.: Automatische Spracherkennung. Vieweg (1995) (in German)
Class, F., Kaltenmeier, A., Regel-Brietzmann, P.: Optimization of an hmm - based continuous speech recognizer. In: EUROSPEECH 1993, pp. 803–806 (1993)
Kuhn, R., Junqua, J.-C., Nguyen, P., Niedzielski, N.: Rapid speaker adaptation in eigenvoice space. IEEE Transactions on Speech and Audio Processing 8(6), 695–707 (2000)
Class, F., Haiber, U., Kaltenmeier, A.: Automatic detection of change in speaker in speaker adaptive speech recognition systems. US 2003/0187645 A1 (2003)
Iskra, D., Grosskopf, B., Marasek, K., van den Heuvel, H., Diehl, F., Kiessling, A.: Speecon - speech databases for consumer devices: Database specification and validation. In: Proceedings of the Third International Conference on Language Resources and Evaluation, LREC 2002, pp. 329–333 (2002)
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Herbig, T., Gerl, F., Minker, W. (2010). Detection of Unknown Speakers in an Unsupervised Speech Controlled System. In: Lee, G.G., Mariani, J., Minker, W., Nakamura, S. (eds) Spoken Dialogue Systems for Ambient Environments. IWSDS 2010. Lecture Notes in Computer Science(), vol 6392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16202-2_3
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DOI: https://doi.org/10.1007/978-3-642-16202-2_3
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