Abstract
This chapter discusses about the combination of implicit and parametric features of excitation source to enhance the LID accuracy. Further, complementary nature of excitation source and vocal tract features is exploited for improving the LID accuracy. The robustness of proposed language-specific excitation source features is investigated on various noisy background environments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
K.S. Rao, S. Maity, V.R. Reddy, Pitch synchronous and glottal closure based speech analysis for language recognition. Int. J. Speech Technol. (Springer) 16(4), 413–430 (2013)
J.R. Deller Jr, J.H.L. Hansen, J.G. Proakis, Discrete-Time Processing of Speech Signal, 2nd edn. (IEEE Press, New York, 2000)
L.R. Rabiner, R.W. Schafer, Digital Processing of Speech Signals (Prentice-Hall, Englewood Cliffs, 1978)
V.R. Reddy, S. Maity, K.S. Rao, Identification of Indian languages using multi-level spectral and prosodic features. Int. J. Speech Technol. (Springer) 16(4), 489–511 (2013)
Y.K. Muthusamy, R.A. Cole, B.T. Oshika, The OGI multilanguage telephone speech corpus, in Spoken Language Processing, pp. 895–898 (1992)
J. Makhoul, Linear prediction: a tutorial review. Proc. IEEE 63(4), 561–580 (1975)
A. Varga, H.J. Steeneken, Assessment for automatic speech recognition: II. NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems. Speech Commun. 12, 247–251 (1993)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 The Author(s)
About this chapter
Cite this chapter
Rao, K.S., Nandi, D. (2015). Complementary and Robust Nature of Excitation Source Features for Language Identification. In: Language Identification Using Excitation Source Features. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-17725-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-17725-0_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17724-3
Online ISBN: 978-3-319-17725-0
eBook Packages: EngineeringEngineering (R0)