Bibliography for disfluency related research

(h/t Hong Zhang)

 

Adell, J., Escudero, D., and Bonafonte, A. (2012). Production of filled pauses in concatenative speech synthesis based on the underlying fluent sentence. Speech Communication, 54(3):459–476.

Ahmed, S., Haigh, A.-M. F., de Jager, C. A., and Garrard, P. (2013). Connected speech as a marker of disease progression in autopsy-proven Alzheimers disease. Brain, 136(12):3727– 3737.

 

Arciuli, J., Mallard, D., and Villar, G. (2010). Um, I can tell you’re lying: Linguistic markers of deception versus truth-telling in speech. Applied Psycholinguistics, 31(3):397– 411.

 

Arnold, J. E., Kam, C. L. H.,  and Tanenhaus,  M. K. (2007).  If you  say  thee uh you  are describing something hard: The on-line attribution of disfluency during reference comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(5):914.

Beattie, G. W. and Butterworth, B. L. (1979). Contextual probability and word frequency as determinants of pauses and errors in spontaneous speech. Language and speech, 22(3):201–211.

Bell, A., Jurafsky, D., Fosler-Lussier, E., Girand, C., Gregory, M., and Gildea, D. (2003). Effects of disfluencies, predictability, and utterance position on word form variation in  English conversation. The Journal of the Acoustical Society of America, 113(2):1001–1024.

 

Bortfeld, H., Leon, S. D., Bloom, J. E., Schober, M. F., and Brennan, S. E. (2001). Disfluency rates in conversation: Effects of age, relationship, topic, role, and gender. Language and speech, 44(2):123–147.

 

Brennan, S. E. and Williams, M. (1995). The feeling of another's knowing: Prosody and filled pauses as cues to listeners about the metacognitive states of speakers. Journal of memory and language, 34(3):383–398.

Colman, M. and Healey, P. (2011). The distribution of repair in dialogue. In Proceedings of the Annual Meeting of the Cognitive Science Society, volume 33.


Corley, M. and Stewart, O. W. (2008). Hesitation disfluencies in spontaneous speech: The meaning of um. Language and Linguistics Compass, 2(4):589–602.

 

Engelhardt, P. E., Corley, M., Nigg, J. T., and Ferreira, F. (2010). The role of inhibition in the production of disfluencies. Memory & Cognition, 38(5):617–628.

Ferreira, F. and Bailey, K. G. (2004). Disfluencies and human language comprehension. Trends in cognitive sciences, 8(5):231–237.

Fraundorf, S. H. and Watson, D. G. (2011). The disfluent discourse:  Effects of filled pauses on recall. Journal of memory and language, 65(2):161–175.

 

Goldwater, S., Jurafsky, D., and Manning, C. D. (2010). Which words are hard to recognize? Prosodic, lexical, and disfluency factors that increase speech recognition error rates. Speech Communication, 52(3):181–200.

 

Hough, J. (2014). Modelling Incremental Self-Repair Processing in Dialogue. PhD thesis, Queen Mary University of London.


Lai, C., Gorman, K., Yuan, J., & Liberman, M. (2007). Perception of disfluency: language differences and listener bias. In Eighth Annual Conference of the International Speech Communication Association.

Lake, J. K., Humphreys, K. R., and Cardy, S. (2011). Listener vs. speaker-oriented aspects of speech: Studying the disfluencies of individuals with autism spectrum disorders. Psychonomic bulletin & review, 18(1):135–140.

Lease, M., Johnson, M., and Charniak, E. (2006). Recognizing disfluencies in conversational speech. IEEE Transactions on Audio, Speech, and Language Processing, 14(5):1566– 1573.

 

Liu, Y., Shriberg, E., Stolcke, A., Hillard, D., Ostendorf, M., and Harper, M. (2006). Enriching speech recognition with automatic detection of sentence boundaries and disfluencies. IEEE Transactions on audio, speech, and language processing, 14(5):1526–1540.

 

MacGregor, L. J., Corley, M., and Donaldson, D. I. (2009). Not all disfluencies are are equal: The effects of disfluent repetitions on language comprehension. Brain and language, 111(1):36–45.

McDaniel, D., McKee, C., and Garrett, M. F. (2010). Children’s sentence planning: Syntactic correlates of fluency variations. Journal of Child Language, 37(1):59–94.

Moniz, H., Batista, F., Mata, A. I., and Trancoso, I. (2014). Speaking style effects in  the production of disfluencies. Speech Communication, 65:20–35.

 

Nakatani, C. H. and Hirschberg, J. (1994). A corpus-based study of repair cues in spontaneous speech. The Journal of the Acoustical Society of America, 95(3):1603–1616.

Ostendorf, M. and Hahn, S. (2013). A sequential repetition model for improved disfluency detection. In INTERSPEECH, pages 2624–2628.

Pakhomov, S. and Savova, G. (1999). Filled pause distribution and modeling in quasi-spontaneous speech. In Proceedings of the International Conference of Phonetic Sciences.

Parish-Morris, J., Liberman, M. Y., Cieri, C., Herrington, J. D., Yerys, B. E., Bateman, L., ... & Schultz, R. T. (2017). Linguistic camouflage in girls with autism spectrum disorder. Molecular autism, 8(1), 48.

Plauch´e, M. and Shriberg, E. (1999).  Data-driven subclassification of disfluent repetitions based on prosodic features. In Proc. International Congress of Phonetic Sciences, volume 2, pages 1513–1516. Citeseer.

Rohrer, J. D., Knight, W. D., Warren, J. E., Fox, N. C., Rossor, M. N., and Warren, J. D. (2008). Word-finding difficulty: a clinical analysis of the progressive aphasias. Brain, 131(1):8–38.

Schachter, S., Christenfeld, N., Ravina, B., and Bilous, F. (1991). Speech disfluency and the structure of knowledge. Journal of Personality and Social Psychology, 60(3):362.

 

Shriberg, E. (1996). Disfluencies in switchboard. In Proceedings of International Conference on Spoken Language Processing, volume 96, pages 11–14. Citeseer.

Shriberg, E. (2001). To errrris human: ecology and acoustics of speech disfluencies. Journal of the International Phonetic Association, 31(1):153–169.

Shriberg, E., Bates, R., and Stolcke, A. (1997).  A prosody only decision-tree model  for disfluency detection. In Fifth European Conference on Speech Communication and Technology.

 

Shriberg, E. E. (1999). Phonetic consequences of speech disfluency. Technical report, SRI INTERNATIONAL MENLO PARK CA.

 

Stolcke, A. and Shriberg, E. (1996). Statistical language modeling for speech disfluencies. In Acoustics, Speech, and Signal Processing, 1996. ICASSP-96.

 

Stolcke, A., Shriberg, E., Bates, R., Ostendorf, M., Hakkani, D., Plauche, M., Tur, G., and Lu, Y. (1998). Automatic detection of sentence boundaries and disfluencies based on recognized words. In Fifth International Conference on Spoken Language Processing.

 

Tottie, G. (2011). Uh and um as sociolinguistic markers in British English. International Journal of Corpus Linguistics, 16(2):173–197.

Wang, W., Stolcke, A., Yuan, J., & Liberman, M. (2013). A cross-language study on automatic speech disfluency detection. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp. 703-708).

Wieling, M., Grieve, J., Bouma, G., Fruehwald, J., Coleman, J., & Liberman, M. (2016). Variation and change in the use of hesitation markers in Germanic languages. Language Dynamics and Change, 6(2), 199-234.

Yuan, J., Xu, X., Lai, W., & Liberman, M. (2016). Pauses and pause fillers in Mandarin monologue speech: The effects of sex and proficiency. Proceedings of Speech Prosody 2016, 1167-1170.