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.