Skip to main content

Keyword Spotting Methods

  • Chapter
  • First Online:
Phonetic Search Methods for Large Speech Databases

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

Abstract

This chapter will review in detail the three KWS methods, LVCSR KWS, Acoustic KWS and Phonetic Search KWS, followed by a discussion and comparison of the methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alon G (2005) Key-word spotting—the base technology for speech analytics. Rishon lezion, NSC—natural speech communications

    Google Scholar 

  • Amir A, Efrat A et al (2001) Advances in phonetic word spotting. In: Tenth international conference on information and knowledge management, Atlanta

    Google Scholar 

  • Burget L, ÄŒernocký J et al (2006) Indexing and search methods for spoken document. In: Text, speech and dialogue 4188/2006 of Lecture notes in computer science. pp 351–358

    Google Scholar 

  • Butzberger J, Murveit H et al (1992) Spontaneous speech effects in large vocabulary speech recognition applications. In: Workshop on speech and natural language, Association for Computational Linguistics

    Google Scholar 

  • Cardillo PS, Clements M et al (2002) Phonetic searching vs. LVCSR: how to find what you really want in audio archives. Int J Speech Technol 5(1):9–22

    Article  MATH  Google Scholar 

  • Clements M, Cardillo PS et al (2001) Phonetic searching of digital audio. In: Proceedings of the broadcast engineering conference, Washington

    Google Scholar 

  • Dharanipragada S, Roukos S (2002) A multistage algorithm for spotting new words in speech. IEEE Trans Speech Audio Process 10(8):542–550

    Article  Google Scholar 

  • Gishri M, Silber-Varod V (2010) Lexicon design for transcription of spontaneous voice messages. In: Seventh conference on international language resources and evaluation (LREC’10), Valetta

    Google Scholar 

  • James DA, Young SJ (1994) A fast lattice-based approach to vocabulary independent wordspotting. In: International conference on acoustics, speech, and signal processing (ICASSP’94), IEEE CS, Adelaide

    Google Scholar 

  • Mamou J, Ramabhadran B et al (2007) Vocabulary independent spoken term detection. In: 30th annual international ACM SIGIR conference on research and development in information retrieval, ACM, Amsterdam

    Google Scholar 

  • Mamou J, Mass Y et al (2008) Combination of multiple speech transcription methods for vocabulary independent search. In: Workshop on search in spontaneous conversational speech (SIGIRSSCS’08), Singapore

    Google Scholar 

  • Schneider D (2011) Holistic vocabulary independent spoken term detection. Ph.D. dissertation. Rheinischen Friedrich-Wilhelms-Universitaat Bonn, Bonn

    Google Scholar 

  • Szöke I, FapÅ¡o M et al (2008) Spoken term detection system based on combination of LVCSR and phonetic search. In: The 4th international conference on machine learning for multimodal interaction, Springer, Berlin

    Google Scholar 

  • Thambiratnam K (2005) Acoustic keyword spotting in speech with applications to data mining. PhD, Speech and Audio Research Laboratory of the SAIVT Program—Center for Built Environment and Engineering Research. Queensland University of Technology, Brisbane, p 248

    Google Scholar 

  • Thambiratnam K, Sridharan S (2005) Dynamic match phone-lattice searches for very fast and accurate unrestricted vocabulary keyword spotting. In: IEEE international conference on acoustics, speech, and signal processing (ICASSP’05), Philadelphia

    Google Scholar 

  • Thambiratnam K, Sridharan S (2007) Rapid yet accurate speech indexing using dynamic match lattice spotting. IEEE Trans Audio Speech Lang Process 15(1):346–357

    Article  Google Scholar 

  • Wallace R, Vogt R et al (2007) A phonetic search approach to the to the 2006 NIST spoken term detection evaluation. In: 8th annual conference of the international speech communication association (INTERSPEECH 2007), ISCA, Antwerp

    Google Scholar 

  • Yu P, Seide F (2004) A hybrid word/phoneme-based approach for improved vocabulary-independent search in spontaneous speech. In: INTERSPEECH 2004, Korea

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 The Author(s)

About this chapter

Cite this chapter

Moyal, A., Aharonson, V., Tetariy, E., Gishri, M. (2013). Keyword Spotting Methods. In: Phonetic Search Methods for Large Speech Databases. SpringerBriefs in Electrical and Computer Engineering(). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6489-1_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-6489-1_2

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6488-4

  • Online ISBN: 978-1-4614-6489-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics