Abstract
In this paper, hum of a person is used to identify a speaker with the help of machine. In addition, novel temporal features (such as zero-crossing rate & short-time energy) and spectral features (such as spectral centroid & spectral flux) are proposed for person recognition task. Feature-level fusion of each of these features with state-of-the art spectral feature set, viz., Mel Frequency Cepstral Coefficients (MFCC) is found to give better recognition performance than MFCC alone. In addition, it is shown that the person identification rate is competitive over baseline MFCC. Furthermore, the reduction in equal error rate (EER) by 1.46 % is obtained when a feature-level fusion system is employed by combining evidences from MFCC, temporal and proposed spectral features.
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References
Amino, K., Arai, T.: Perceptual Speaker Identification Using Monosyllabic Stimuli-Effects of the Nucleus Vowels and Speaker Characteristics Contained in Nasals. In: INTERSPEECH 2008, Brisbane, Australia, pp. 1917–1920 (2008)
Patil, H.A., Jain, R., Jain, P.: Identification of Speakers from their Hum. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds.) TSD 2008. LNCS (LNAI), vol. 5246, pp. 461–468. Springer, Heidelberg (2008)
Jin, M., Kim, J., Yoo, C.D.: Humming-based Human Verification and Identification. In: Proc. Int. Conf. on Acoustic, Speech and Signal Processing, ICASSP 2009, Taipei, Taiwan, pp. 1453–1456 (2009)
Patil, H.A., Parhi, K.K.: Novel Variable Length Teager Energy based Features for Person Recognition from Their Hum. In: Proc. Int. Conf. on Acoustic, Speech and Signal Processing, ICASSP 2010, Dallas, Texas, USA, pp. 4526–4529 (2010)
Huang, R., Hansen, J.H.L.: Advances in Unsupervised Audio Classification and Segmentation for the Broadcast News and NGSW Corpora. IEEE Transactions on Audio, Speech, and Language Processing 14(3), 907–919 (2006)
Kedem, B.: Spectral Analysis and Discrimination by Zero-Crossings. Proc. IEEE 74(11), 1477–1493 (1986)
Schubert, E., Wolfe, J., Tarnopolsky, A.: Spectral Centroid and Timbre in Complex, Multiple Instrumental Textures. In: Proceedings of the 8th International Conference on Music Perception & Cognition, Evanston, IL, pp. 654–657 (2004)
Davis, S.B., Mermelstein, P.: Comparison on Parametric Representation for Monosyllabic Word Recognition in Continuously Spoken Sentences. IEEE, Transactions on Acoustics, Speech, And Signal Processing ASSP-28(4), 357–366 (1980)
Campbell, W.M., Assaleh, K.T., Broun, C.C.: Speaker Recognition with Polynomial Classifiers. IEEE Transactions on Speech and Audio Processing 10(4), 205–212 (2002)
Martin, A.F., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The DET Curve in Assessment of Detection Task Performance. In: Proc. EUROSPEECH 1997, Rhodes, Greece, vol. 4, pp. 1895–1898 (1997)
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Patil, H.A., Madhavi, M.C., Jain, R., Jain, A.K. (2012). Combining Evidence from Temporal and Spectral Features for Person Recognition Using Humming. In: Kundu, M.K., Mitra, S., Mazumdar, D., Pal, S.K. (eds) Perception and Machine Intelligence. PerMIn 2012. Lecture Notes in Computer Science, vol 7143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27387-2_40
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DOI: https://doi.org/10.1007/978-3-642-27387-2_40
Publisher Name: Springer, Berlin, Heidelberg
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