Abstract
This chapter provides brief introduction about language identification and its applications. General issues in language identification, language-specific cues in speech signal, specific issues in identification of Indian languages, scope of the work, issues addressed and organization of the book are discussed in this chapter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zissman MA (1996) Comparison of four approaches to automatic language identification of telephone speech. IEEE Trans Speech Audio Process 4:31–44
Jayaram AKVS, Ramasubramanian V, Sreenivas TV (2003) Language identification using parallel sub-word recognition. In: Proceedings of IEEE international conference on acoustics, speech, and signal processing, vol I, pp 32–35
Rao KS, Koolagudi SG (2011) Identification of hindi dialects and emotions using spectral and prosodic features of speech. J Syst Cybern Inform 9(4):24–33
Rao KS (2011) Role of neural network models for developing speech systems. In: SADHANA, academy proceedings in engineering sciences, indian academy of sciences, vol 36, Part-5, Springer, pp 783–836, Oct 2011
Cole RA, Inouye JWT, Muthusamy YK, Gopalakrishnan M (1989) Language identification with neural networks: a feasibility study. In: Proceedings of IEEE pacific rim conference communications, computers and signal processing, pp 525–529
Nakagawa S, Ueda Y, Seino T (1992) Speaker-independent, text independent language identification by HMM. In: Proceedings international conference spoken language processing (ICSLP-1992), pp 1011–1014
Wong E, Sridharan S (2002) Gaussian mixture model based language identification system. In: Proceedings of international conference spoken language processing (ICSLP-2002), pp 93–96
Lu-Feng Z, Man-hung S, Xi Y, Gish H (2006) Discriminatively trained language models using support vector machines for language identification. In: Proceedings of speaker and language recognition workshop, 2006. IEEE. odyssey 2006, pp 1–6
Muthusamy YK, Cole RA (1992) Automatic segmentation and identification of ten languages using telephone speech. In: Proceedings of international conference spoken language processing, (Banff, Alberta, Canada), pp 1007–1010, Oct 1992
Ramus F, Mehler J (1999) Language identification with suprasegmental cues: a study based on speech resynthesis. J. Acoust. Soc. Am. 105:512–521
Mori K, Toba N, Harada T, Arai T, Kometsu M, Aoyagi M, Murahara Y (1999) Human language identification with reduced spectral information. In Proceedings of EUROSPEECH, vol 1, (Budapest, Hungary), pp 391–394, Sep 1999
Schultz T, Rogina I, Waibel A (1996) LVCSR-based language identification. In: Proceedings of IEEE international conference acoustics, speech, and signal processing (ICASSP-96), vol 2, pp 781–784
Laver J (1994) Principles of phonetics. Cambridge University Press, Cambridge
Jurafsky D, Martin J (2008) Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition. 2 edn. Prentice Hall, New Jersey
Rabiner L, Juang B (1993) Fundamentals of speech recognition. Prentice Hall, New Jersey
Bielefeld B (1994) Language identification using shifted delta cepstrum. In: Proceedings of 14th annual speech research symposium
Schultz T, Kirchhoff K (2006) Multilingual speech processing. Academic, New York
Yip M (2002) Tone. Cambridge University Press, Cambridge
Bauer L (2003) Introducing linguistic morphology. Georgetown University Press, Washington
Carnie A (2006) Syntax: a generative introduction. 2 edn, Wiley, New York
Maity S, Vuppala AK, Rao KS, Nandi D (2012) IITKGP-MLILSC speech database for language identification. In: National conference on communication, Feb 2012
Rao KS, Maity S, Reddy VR (2013) Pitch synchronous and glottal closure based speech analysis for language recognition. Int J Speech Technol (Springer) 16(4):413–430
Reddy VR, Maity S, Rao KS (2013) Recognition of indian languages using multi-level spectral and prosodic features. Int J Speech Technol (Springer) 16(4):489–510
Bhaskar B, Nandi D, Rao KS (2013) Analysis of language identification performance based on gender and hierarchical grouping approaches. In: International conference on natural language processing (ICON-2013), (CDAC, Noida, India), Dec 2013
Sarkar S, Rao KS, Nandi D (2013) Multilingual speaker recognition on indian languages. In: Proceedings of IEEE INDICON, (Mumbai, India), Dec 2013
Mary L, Rao KS, Yegnanarayana B (2005) Neural network classifiers for language identification using syntactic and prosodic features. In: Proceedings of IEEE international conference intelligent sensing and information processing, (Chennai, India), pp 404–408, Jan 2005
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., Reddy, V.R., Maity, S. (2015). Introduction. In: Language Identification Using Spectral and Prosodic Features. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-17163-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-17163-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17162-3
Online ISBN: 978-3-319-17163-0
eBook Packages: EngineeringEngineering (R0)