Reproducing an experiment in automatic disfluency detection

Grimm F, Schlangen D, Hough J, Cimiano P (2021)
In: Studies in Analytical Reproducibility: the Conquaire Project. Cimiano P, Pietsch C, Wiljes C (Eds); Bielefeld: Universität Bielefeld: 97-112.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Herausgeber*in
Cimiano, Philipp; Pietsch, Christian; Wiljes, Cord
Abstract / Bemerkung
In this chapter, we describe an effort to reproduce the main results of the published paper “Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech” [1], published as part of the proceedings of the “European Chapter of the Association for Computational Linguistics” (EACL) in 2017. The paper focuses on the task of disfluency detection and utterance segmentation and proposes a simple deep learning system that processes dialogue transcriptions and Automatic Speech Recognition (ASR) output. For this purpose, the Dialogue Systems Group (DSG) at Bielefeld University developed a library that relies on a data model for live ASR data that combines timing and textual information. It utilizes a refined text corpus of open data to demonstrate the feasibility of the system for simultaneously detecting disfluencies and segmenting the individual utterances for use in conversational systems and similar speech related tasks. The code and data for this reproducibility experiment are available at https://gitlab.ub.uni-bielefeld.de/conquaire/deep_disfluency.
Stichworte
Linguistics; Speech Recognition; Python; Machine learning; LSTM; HMM; RNN; NLTK; Theano; Keras
Erscheinungsjahr
2021
Buchtitel
Studies in Analytical Reproducibility: the Conquaire Project
Seite(n)
97-112
ISBN
978-3-943363-06-7
Page URI
https://pub.uni-bielefeld.de/record/2953794

Zitieren

Grimm F, Schlangen D, Hough J, Cimiano P. Reproducing an experiment in automatic disfluency detection. In: Cimiano P, Pietsch C, Wiljes C, eds. Studies in Analytical Reproducibility: the Conquaire Project. Bielefeld: Universität Bielefeld; 2021: 97-112.
Grimm, F., Schlangen, D., Hough, J., & Cimiano, P. (2021). Reproducing an experiment in automatic disfluency detection. In P. Cimiano, C. Pietsch, & C. Wiljes (Eds.), Studies in Analytical Reproducibility: the Conquaire Project (pp. 97-112). Bielefeld: Universität Bielefeld.
Grimm, Frank, Schlangen, David, Hough, Julian, and Cimiano, Philipp. 2021. “Reproducing an experiment in automatic disfluency detection”. In Studies in Analytical Reproducibility: the Conquaire Project, ed. Philipp Cimiano, Christian Pietsch, and Cord Wiljes, 97-112. Bielefeld: Universität Bielefeld.
Grimm, F., Schlangen, D., Hough, J., and Cimiano, P. (2021). “Reproducing an experiment in automatic disfluency detection” in Studies in Analytical Reproducibility: the Conquaire Project, Cimiano, P., Pietsch, C., and Wiljes, C. eds. (Bielefeld: Universität Bielefeld), 97-112.
Grimm, F., et al., 2021. Reproducing an experiment in automatic disfluency detection. In P. Cimiano, C. Pietsch, & C. Wiljes, eds. Studies in Analytical Reproducibility: the Conquaire Project. Bielefeld: Universität Bielefeld, pp. 97-112.
F. Grimm, et al., “Reproducing an experiment in automatic disfluency detection”, Studies in Analytical Reproducibility: the Conquaire Project, P. Cimiano, C. Pietsch, and C. Wiljes, eds., Bielefeld: Universität Bielefeld, 2021, pp.97-112.
Grimm, F., Schlangen, D., Hough, J., Cimiano, P.: Reproducing an experiment in automatic disfluency detection. In: Cimiano, P., Pietsch, C., and Wiljes, C. (eds.) Studies in Analytical Reproducibility: the Conquaire Project. p. 97-112. Universität Bielefeld, Bielefeld (2021).
Grimm, Frank, Schlangen, David, Hough, Julian, and Cimiano, Philipp. “Reproducing an experiment in automatic disfluency detection”. Studies in Analytical Reproducibility: the Conquaire Project. Ed. Philipp Cimiano, Christian Pietsch, and Cord Wiljes. Bielefeld: Universität Bielefeld, 2021. 97-112.
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2021-04-11T21:34:27Z
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Studies in Analytical Reproducibility: the Conquaire Project
Cimiano P, Pietsch C, Wiljes C (Eds) (2021)
Bielefeld: Universität Bielefeld.
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