Linguistic scene analysis and the importance of synergy

Authors

  • Steven Greenberg Silicon Speech, Santa Venetia, CA 94903, USA; Centre for Applied Hearing Research, Ørsted•DTU, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
  • Thomas U. Christiansen Centre for Applied Hearing Research, Ørsted•DTU, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark

Abstract

This chapter explores the possibility that speech is decoded using cross-spectral and cross-modal integration strategies that are inherently synergistic. Combining information from separate spectral channels or across modalities may result in far greater intelligibility and phonetic recognition than predicted by linear-integration models. This is because decoding speech relies on multi-tier processing strategies that are opportunistic and idiosyncratic. Models incorporating synergistic integration are more likely to predict linguistic comprehension than conventional, linear approaches, particularly in challenging listening conditions.

References

ANSI (1997). “Methods for Calculation of the Speech Intelligibility Index,” S3.5-1997.

Brown, R., and McNeil, D. (1966). “The ‘tip-of-the-tongue’ phenomenon,” J. Verb. Learn. Behav., 5, 325-337.

Chang, S., Wester, M., and Greenberg, S. (2005). “An elitist approach to automatic articulatory-acoustic feature classi cation for phonetic characterization of spoken language,” Speech Communication, 47, 290-311.

Christiansen, T. U., and Greenberg, S. (2005). “Frequency-selective filtering of the modulation spectrum and its impact on consonant identification,” in The Twenty- First Danavox Symposium, edited by A. Rasmussen and T. Poulsen, 585-599.

Christiansen, T. U., and Greenberg, S. (2008). “Cross-spectral synergy is crucial for consonant recognition,” Submitted.

Christiansen, T. U., Dau, T., and Greenberg, S. (2007). “Spectro-temporal processing of speech – An information-theoretic framework,” In Hearing – From Sen- sory Processing to Perception, edited by B. Kollmeier, G. Klump, V. Hohmann, U. Langemann, M. Mauermann, S. Uppenkamp and J. Verhey. Berlin: Springer Ver- lag, 517-523.

French, N. R., and Steinberg, J. C. (1947). “Factors governing the intelligibility of speech sounds,” J. Acoust. Soc. Am., 19, 90-119.

Grant, K., and Greenberg, S. (2001). “Speech intelligibility derived from asynchronous processing of auditory-visual information,” Proceedings of the Workshop on Audio-Visual Speech Processing (AVSP-2001), 132-137.

Grant, K. W., and Walden, B. E. (1996). “Evaluating the articulation index for auditory-visual consonant recognition,” J. Acoust. Soc. Am., 100, 2415-2424.

Greenberg, S. (2006). “A multi-tier theoretical framework for understanding spoken language,” In Listening to Speech: An Auditory Perspective, edited by S. Greenberg, and W. A. Ainsworth. Mahwah, NJ: Lawrence Erlbaum Associates, 411-433.

Greenberg, S. (2007). “What makes speech stick?” Proceedings of the XVIth International Congress of Phonetic Sciences, 737-740.

Greenberg, S., Arai, T. and Silipo, R. (1998). “Speech intelligibility derived from exceedingly sparse spectral information,” Proceedings of the 5th International Conference on Spoken Language Processing, 74-77.

Grosjean, F. (1985). “The recognition of words after their acoustic offset: Evidence and implications,” Percept. Psychophys., 38, 299-310.

Houtgast, T., and Steeneken, H. J. M. (1985). “A review of the MTF-concept in room acoustics,” J. Acoust. Soc. Am., 77, 1069-1077.

Miller, G.A. and Nicely, P. (1955). “An analysis of perceptual confusions among some English consonants,” J. Acoust. Soc. Am., 27, 338-352.

Miller, G. A., Heise, G. A., and Lichten, W. (1951). “The intelligibility of speech as a function of the context of the test materials,” J. Exp. Psych., 41, 329-335.

Müsch, H., and Buus, S. (2001). “Using statistical decision theory to predict speech intelligibility. II. Measurement and prediction of consonant-discrimination performance,” J. Acoust. Am. Soc., 109, 2910-2920.

Pickett, J. M., and Pollack, I. (1963). “Intelligibility of excerpts from fluent speech: Effects of rate of utterance and duration of excerpt,” Language and Speech, 6, 151-164.

Plomp, R. (2002). The Intelligent Ear. Mahwah, NJ: Lawrence Erlbaum Associates. Pollack, I., and Pickett, J. M. (1963). “The intelligibility of excerpts from conversation,” Language and Speech, 6, 165-171.

Silipo, R., Greenberg, S., and Arai, T. (1999). “Temporal constraints on speech intelligibility as deduced from exceedingly sparse spectral representations,” Proceedings of the 6th European Conference on Speech Communication and Technology (Eurospeech-99), 2687-2690.

Additional Files

Published

2007-12-15

How to Cite

Greenberg, S., & Christiansen, T. U. (2007). Linguistic scene analysis and the importance of synergy. Proceedings of the International Symposium on Auditory and Audiological Research, 1, 351–364. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2007-33

Issue

Section

2007/4. Speech perception and processing