Skip to main content

Fundamental Frequency Modulation in Singing Voice Synthesis

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7172))

Abstract

A model is presented for the analysis and synthesis of low frequency human-like pitch deviation, as a replacement for existing modulation techniques in singing voice synthesis systems. Fundamental frequency (f 0) measurements are taken from vocalists producing a selected range of utterances without vibrato and trends in the data are observed. A probabilistic function that provides natural sounding low frequency f 0 modulation to synthesized singing voices is presented and the perceptual relevance is evaluated with subjective listening tests.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   72.00
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bonada, J., Serra, X.: Synthesis of the singing voice by performance sampling and spectral models. IEEE Signal Processing Magazine 24(2), 67–79 (2007)

    Article  Google Scholar 

  2. Burnett, T., Senner, J., Larson, C.: Voice F0 responses to pitch-shifted auditory feedback: a preliminary study. Journal of Voice 11(2), 202–211 (1997)

    Article  Google Scholar 

  3. Cook, P.R.: Identification of control parameters in an articulatory vocal tract model, with applications to the synthesis of singing. Ph.D. thesis, Stanford University, Stanford, CA, USA (1991), uMI Order No. GAX91-15756

    Google Scholar 

  4. Fabig, L., Janer, J.: Transforming singing voice expression - the sweetness effect. In: Proc. of the 7th Int. Conference on Digital Audio Effects (DAFX 2004), Naples, Italy (2004)

    Google Scholar 

  5. Goto, M., Nakano, T.: Vocalistner: a singing-to-singing synthesis system based on iterative parameter estimation. In: Sound and Music Computing Conference (2010)

    Google Scholar 

  6. Kenmochi, H., Ohshita, H.: Vocaloid-commercial singing synthesizer based on sample concatenation. In: Eighth Annual Conference of the International Speech Communication Association (2007)

    Google Scholar 

  7. Klatt, D., Klatt, L.: Analysis, synthesis, and perception of voice quality variations among female and male talkers. The Journal of the Acoustical Society of America 87, 820 (1990)

    Article  Google Scholar 

  8. Kreiman, J., Gerratt, B.: Perception of aperiodicity in pathological voice. The Journal of the Acoustical Society of America 117, 2201 (2005)

    Article  Google Scholar 

  9. Lai, W.: F0 control model for mandarin singing voice synthesis. In: International Conference on Digital Telecommunications, p. 12 (2007)

    Google Scholar 

  10. Larson, C., Burnett, T., Bauer, J., Kiran, S., Hain, T.: Comparison of voice f responses to pitch-shift onset and offset conditions. The Journal of the Acoustical Society of America 110, 2845 (2001)

    Article  Google Scholar 

  11. Leydon, C., Bauer, J., Larson, C.: The role of auditory feedback in sustaining vocal vibrato. The Journal of the Acoustical Society of America 114, 1575 (2003)

    Article  Google Scholar 

  12. Loscos, A.: Spectral Processing of the singing voice. Ph.D. thesis, Universitat Pompeu Fabra, Barcelona (2007)

    Google Scholar 

  13. Macon, M., Jensen-Link, L., Oliverio, J., Clements, M., George, E.: Concatenation-based MIDI-to-singing voice synthesis. Audio Engineering Society Journal (1997)

    Google Scholar 

  14. Orlikoff, R., Baken, R.: Fundamental frequency modulation of the human voice by the heartbeat: preliminary results and possible mechanisms. The Journal of the Acoustical Society of America 85, 888 (1989)

    Article  Google Scholar 

  15. Rodet, X.: Synthesis and Processing of the Singing Voice. Ph.D. thesis, IRCAM, Paris (2002)

    Google Scholar 

  16. Ruinskiy, D., Lavner, Y.: Stochastic models of pitch jitter and amplitude shimmer for voice modification. In: IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008, pp. 489–493. IEEE (2009)

    Google Scholar 

  17. Saitou, T., Unoki, M., Akagi, M.: Development of an F0 control model based on F0 dynamic characteristics for singing-voice synthesis. Speech Communication 46(3-4), 405–417 (2005)

    Article  Google Scholar 

  18. Schoentgen, J.: Estimation of the modulation frequency and modulation depth of the fundamental frequency owing to vocal micro-tremor of the voice source signal. In: Eurospeech, p. 1499 (2001)

    Google Scholar 

  19. Schröder, M.: Emotional speech synthesis: A review. In: Proceedings of EUROSPEECH, vol. 1, pp. 561–564 (2001)

    Google Scholar 

  20. Shipp, T., Sundberg, J., Doherty, E.: The effect of delayed auditory feedback on vocal vibrato. Journal of Voice 2(3), 195–199 (1988)

    Article  Google Scholar 

  21. Shipp, T., Doherty, E.T., Haglund, S.: Physiologic factors in vocal vibrato production. Journal of Voice 4(4), 300–304 (1990)

    Article  Google Scholar 

  22. Stables, R., Bullock, J., Athwal, C.: The humanisation of stochastic processes for the modelling of f 0 drift in singing. In: CMMR-FRSM 2011 Joint International Symposium on Computer Music Modelling and Retrieval with Frontiers of Research on Speech and Music (2011)

    Google Scholar 

  23. Stables, R., Bullock, J., Athwal, C.: Towards a model for the humanisation of pitch drift in singing voice synthesis. In: International Computer Music Conference (ICMC 2011), Huddersfield, UK (2011)

    Google Scholar 

  24. Stables, R., Bullock, J., Williams, I.: Perceptually relevant models for drum pattern humanisation. In: Proceedings of 131st Audio Engineering Society Convention. AES, New York (2011)

    Google Scholar 

  25. Sun, X.: Pitch determination and voice quality analysis using subharmonic-to-harmonic ratio. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2002), vol. 1. IEEE (2005)

    Google Scholar 

  26. Sundberg, J.: Science of the Singing Voice. Northern Illinois University Press (1987)

    Google Scholar 

  27. Ternström, S., Friberg, A.: Analysis and simulation of small variations in the fundamental frequency of sustained vowels. STL-QPSR 30(3), 1–14 (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stables, R., Athwal, C., Bullock, J. (2012). Fundamental Frequency Modulation in Singing Voice Synthesis. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K., Mohanty, S. (eds) Speech, Sound and Music Processing: Embracing Research in India. CMMR FRSM 2011 2011. Lecture Notes in Computer Science, vol 7172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31980-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31980-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31979-2

  • Online ISBN: 978-3-642-31980-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics