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Context Based Speech Analysis of Bengali Language as a Part of TTS Conversion

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Signal Processing, Image Processing and Pattern Recognition (SIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 260))

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Abstract

Speech emotion recognition, as a vital part of affective human computer interaction, has become a new challenge to speech processing. The area of context based speech analysis for a meaningful Bengali Text to Speech conversion has not been worked upon to the extent desired. Emotion plays a vital role in communication as the same sentences can be conveyed on pronounced using different tones with different emotion. Therefore, context based speech analysis of Bengali language as apart of Text to Speech conversion is considered for this work.

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References

  1. Alam, F., Nath, P.K., Khan, M.: Text to Speech for Bangla Language using Festival. BRAC University (2007)

    Google Scholar 

  2. Sarkar, T., Keri, V., Santhosh, M., Prahallad, K.: Building Bengali Voice Using FestVox. In: ICLSI (2005)

    Google Scholar 

  3. Bandyopadhyay, A.: Some Important Aspect of Bengali speech synthesis system. In: IEMCT, pp. 95–100. Tata McGraw-Hill (June 2002)

    Google Scholar 

  4. Sen, A.: Bangla Pronunciation Rules and A Text to speech system. In: Symposium on Indian Morphology, Phonology & Language Engineering, p. 39 (2004)

    Google Scholar 

  5. Mosaddeque, A.B., Uzzaman, N., Khan, M.: Rule based Automated Pronunciation Generator. Center for Research on Bangla Language Processing (2005)

    Google Scholar 

  6. Bandyopadhyay, A., Mandal, S.K.D., Pal, B., Mitra, M.: Implementation of intonation pattern in Bengali text to Speech synthesis. Speech & Signal Processing Group, ER & DCI (2003)

    Google Scholar 

  7. Manimegalai, T.: Enhancing Text To Speech using Spectral Smoothing. In: National Conference on Recent Trends in Intelligent Computing, KGEC, West Bengal, November 17-19 (2006)

    Google Scholar 

  8. Danisman, T., Alpkocak, A.: Feeler: Emotion Classification of Text Using Vector Space Model. In: AISB 2008 Convention, Communication, Interaction and Social Intelligence, Aberdeen, UK. Affective Language in Human and Machine, vol. 2, pp. 53–59 (April 2008)

    Google Scholar 

  9. http://weka.en.malavida.com/

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Author information

Authors and Affiliations

  1. Department of Information Technology, Pailan College of Management and Technology, Kolkata, India

    Nabanita Mukherjee

  2. Computer Science and Engineering Department, Institute of Technology and Marine Engineering, 24-Parganas (South), West Bengal, India

    Imon Mukherjee & Debnath Bhattacharyya

  3. GVSA and School of Information Science, Unviersity of Tasmania, Australia

    Tai-hoon Kim

Authors
  1. Nabanita Mukherjee
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  2. Imon Mukherjee
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  3. Debnath Bhattacharyya
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  4. Tai-hoon Kim
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. University of Porto, 4099-002, Porto, Portugal

    Carlos Ramos

  4. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Mukherjee, N., Mukherjee, I., Bhattacharyya, D., Kim, Th. (2011). Context Based Speech Analysis of Bengali Language as a Part of TTS Conversion. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_22

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  • DOI: https://doi.org/10.1007/978-3-642-27183-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27182-3

  • Online ISBN: 978-3-642-27183-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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