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Speech disfluencies, such as filled pauses or repetitions, are disruptions in the typical flow of speech.
Measurements of oral reading and speaking rate and disfluency of adult male and female stutterers and nonstutterers
Wendell Johnson · 1961
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Switchboard: Telephone speech corpus for research and development
J.J. Godfrey, E.C. Holliman, and J. McDaniel · 1992
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A prosody only decision-tree model for disfluency detection
Elizabeth Shriberg, Rebecca Bates, and Andreas Stolcke · 1997
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Clinical measurement of stuttering behaviors
J Scott Yaruss · 1997
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Resegmentation of switchboard
Neeraj Deshmukh, Aravind Ganapathiraju, Andi Gleeson, Jonathan Hamaker, and Joseph Picone · 1998
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Phonetic consequences of speech disfluency
Elizabeth E Shriberg · 1999
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Edit detection and parsing for transcribed speech
Eugene Charniak and Mark Johnson · 2001
Earlier work this paper cites.
Prosodic features of four types of disfluencies
Guergana Savova and Joan Bachenko · 2003
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The montreal cognitive assessment, moca: a brief screening tool for mild cognitive impairment
Ziad S Nasreddine, Natalie A Phillips, Valérie Bédirian, Simon Charbonneau, Victor Whitehead, Isabelle Collin, Jeffrey L Cummings, and Howard Chertkow · 2005
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Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber · 2006
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Overall assessment of the speaker’s experience of stuttering (oases): Documenting multiple outcomes in stuttering treatment
J.S. Yaruss and R.W. Quesal · 2006
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Hesitation disfluencies in spontaneous speech: The meaning of um
M. Corley and O.W. Stewart · 2008
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The effect of cognitive load on disfluencies during in-vehicle spoken dialogue
A. Lindström et al · 2008
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Using integer linear programming for detecting speech disfluencies
Kallirroi Georgila · 2009
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Computing and visualizing dynamic time warping alignments in r: The dtw package
Toni Giorgino · 2009
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SSI-4: Stuttering severity instrument
Glyndon Riley and Klaas Bakker · 2009
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Kenlm: Faster and smaller language model queries
Kenneth Heafield · 2011
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Prosodic contex-based analysis of disfluencies
Helena Moniz, Fernando Batista, Isabel Trancoso, and Ana Isabel Mata · 2012
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A sequential repetition model for improved disfluency detection
Mari Ostendorf and Sangyun Hahn · 2013
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Deep speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, et al · 2014
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Classification of cognitive load from speech using an i-vector framework
M. Van Segbroeck, R. Travadi, C. Vaz, J. Kim, M.P. Black, A. Potamianos, and S.S. Narayanan · 2014
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Disfluency detection with a semi-markov model and prosodic features
James Ferguson, Greg Durrett, and Dan Klein · 2015
Cited alongside, same era.
Librispeech: an asr corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur · 2015
Cited alongside, same era.
Disfluency detection using a bidirectional lstm
Vicky Zayats, Mari Ostendorf, and Hannaneh Hajishirzi · 2016
Cited alongside, same era.
Opennmt: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander M. Rush · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
End-to-end neural network based automated speech scoring
Lei Chen, Jidong Tao, Shabnam Ghaffarzadegan, and Yao Qian · 2018
Multi-task self-supervised learning for disfluency detection
Shaolei Wang, Wangxiang Che, Qi Liu, Pengda Qin, Ting Liu, and William Yang Wang · 2020
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Transformers: State-of-the-art natural language processing
T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue, A. Moi, P. Cistac, T. Rault, R. Louf, M. Funtowicz, J. Davison, S. Shleifer, P. von Platen, C. Ma, Y. Jernite, Julien Plu, Canwen Xu, T. Le Scao, S. Gugger, M. Drame, Q. Lhoest, and A.M. Rush · 2020
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Multi-domain disfluency and repair detection
Victoria Zayats, Mari Ostendorf, and Hannaneh Hajishirzi · 2020
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Speechstew: Simply mix all available speech recognition data to train one large neural network
William Chan, Daniel Park, Chris Lee, Yu Zhang, Quoc Le, and Mohammad Norouzi · 2021
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Hubert: Self-supervised speech representation learning by masked prediction of hidden units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed · 2021
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Cited alongside, same era.
Disfluency detection using auto-correlational neural networks
P.J. Lou, P. Anderson, and M. Johnson · 2018
Cited alongside, same era.
Semi-supervised disfluency detection
Feng Wang, Wei Chen, Zhen Yang, Qianqian Dong, Shuang Xu, and Bo Xu · 2018
Cited alongside, same era.
Noisy bilstm-based models for disfluency detection
N. Bach and F. Huang · 2019
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.W. Chang, K. Lee, and K. Toutanova · 2019
Cited alongside, same era.
Target-dependent sentiment classification with bert
Zhengjie Gao, Ao Feng, Xinyu Song, and Xi Wu · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, et al · 2019
Cited alongside, same era.
Later among the works it cites.
Sep-28k: A dataset for stuttering event detection from podcasts with people who stutter
C. Lea, V. Mitra, A. Joshi, S. Kajarekar, and J.P. Bigham · 2021
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Improved robustness to disfluencies in rnn-transducer based speech recognition
Valentin Mendelev, Tina Raissi, Guglielmo Camporese, and Manuel Giollo · 2021
Later among the works it cites.
Analysis and tuning of a voice assistant system for dysfluent speech
V. Mitra, Z. Huang, C. Lea, L. Tooley, S. Wu, D. Botten, A. Palekar, S. Thelapurath, P. Georgiou, S. Kajarekar, et al · 2021
Later among the works it cites.
Disfluency detection with unlabeled data and small bert models
J.C. Rocholl, V. Zayats, D.D. Walker, N.B. Murad, A. Schneider, and D.J. Liebling · 2021
Later among the works it cites.
Automatically detecting errors and disfluencies in read speech to predict cognitive impairment in people with parkinson’s disease
A. Romana, J. Bandon, M. Perez, S. Gutierrez, R. Richter, A. Roberts, and E. Mower Provost · 2021
Later among the works it cites.
The multilingual tedx corpus for speech recognition and translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W Oard, and Matt Post · 2021
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Speech framework
Apple · 2022
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Detecting dysfluencies in stuttering therapy using wav2vec 2.0
S.P. Bayerl, D. Wagner, E. Nöth, and K. Riedhammer · 2022
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Wavlm: Large-scale self-supervised pre-training for full stack speech processing
Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, et al · 2022
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Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2022
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Enabling off-the-shelf disfluency detection and categorization for pathological speech
A. Romana, M. Niu, M. Perez, A. Roberts, and E. Mower Provost · 2022
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Torchaudio: Building blocks for audio and speech processing
Yao-Yuan Yang, Moto Hira, Zhaoheng Ni, Artyom Astafurov, Caroline Chen, Christian Puhrsch, David Pollack, Dmitriy Genzel, Donny Greenberg, Edward Z Yang, et al · 2022
Later among the works it cites.
From user perceptions to technical improvement: Enabling people who stutter to better use speech recognition
Colin Lea, Zifang Huang, Jaya Narain, Lauren Tooley, Dianna Yee, Dung Tien Tran, Panayiotis Georgiou, Jeffrey P Bigham, and Leah Findlater · 2023
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whisper-timestamped
Jérôme Louradour · 2023
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Toward a multimodal approach for disfluency detection and categorization
Amrit Romana and Kazuhito Koishida · 2023
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