Disfluencies and Human Speech Transcription Errors
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Abstract (arXiv)
This paper explores contexts associated with errors in transcrip-tion of spontaneous speech, shedding light on human perceptionof disfluencies and other conversational speech phenomena. Anew version of the Switchboard corpus is provided with disfluency annotations for careful speech transcripts, together with results showing the impact of transcription errors on evaluation of automatic disfluency detection.
Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Apr 2019.
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Citing papers per year: 2021: 5; 2022: 7; 2023: 5; 2024: 1; 2025: 2; 2026: 1.
21 papers.
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- 2021Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answeringcited by 20
- 2021Disfluency Detection with Unlabeled Data and Small BERT Modelscited by 17
- 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
- 2022LARD: Large-scale Artificial Disfluency Generationcited by 7
- 2023Weakly-supervised forced alignment of disfluent speech using phoneme-level modelingcited by 7
- 2021Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Docited by 6
- 2023Automatic Disfluency Detection from Untranscribed Speechcited by 6
- 2023Towards End-to-End Spoken Grammatical Error Correctioncited by 6
- 2021What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Studycited by 5
- 2022Span Classification with Structured Information for Disfluency Detection in Spoken Utterancescited by 5
- 2022Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognitioncited by 5
- 2023Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectivescited by 5
9 more
- 2021Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcriptscited by 3
- 2024Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertioncited by 3
- 2022Building and curating conversational corpora for diversity-aware language science and technologycited by 2
- 2022Artificial Disfluency Detection, Uh No, Disfluency Generation for the Massescited by 1
- 2022A novel multimodal dynamic fusion network for disfluency detection in spoken utterancescited by 1
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbiancited by 1
- 2022Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspectivecited by 0
- 2025DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environmentscited by 0
- 2026Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpuscited by 0
- 2026Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus17 Mar 2026
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian3 Nov 2025
- 2025DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environments26 Jul 2025
- 2024Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion17 Dec 2024
- 2023Towards End-to-End Spoken Grammatical Error Correction9 Nov 2023
- 2023Automatic Disfluency Detection from Untranscribed Speech1 Nov 2023
- 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems28 Jul 2023
- 2023Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling30 May 2023
- 2023Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives25 Jan 2023
- 2022A novel multimodal dynamic fusion network for disfluency detection in spoken utterances27 Nov 2022
- 2022Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses16 Nov 2022
- 2022Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective5 Nov 2022
9 more
- 2022Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition26 Oct 2022
- 2022Span Classification with Structured Information for Disfluency Detection in Spoken Utterances30 Mar 2022
- 2022Building and curating conversational corpora for diversity-aware language science and technology7 Mar 2022
- 2022LARD: Large-scale Artificial Disfluency Generation13 Jan 2022
- 2021What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Study19 Sep 2021
- 2021Assessing the Use of Prosody in Constituency Parsing of Imperfect Transcripts14 Jun 2021
- 2021Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering8 Jun 2021
- 2021Disfluency Detection with Unlabeled Data and Small BERT Models21 Apr 2021
- 2021Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do9 Apr 2021
- 2021Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answeringcited by 20
- 2021Disfluency Detection with Unlabeled Data and Small BERT Modelscited by 17
- 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systemscited by 9
- 2022LARD: Large-scale Artificial Disfluency Generationcited by 7
- 2023Weakly-supervised forced alignment of disfluent speech using phoneme-level modelingcited by 7
- 2021Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Docited by 6
- 2023Automatic Disfluency Detection from Untranscribed Speechcited by 6
- 2023Towards End-to-End Spoken Grammatical Error Correctioncited by 6
- 2021What BERT Based Language Models Learn in Spoken Transcripts: An Empirical Studycited by 5
- 2022Span Classification with Structured Information for Disfluency Detection in Spoken Utterancescited by 5
- 2022Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognitioncited by 5
- 2023Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectivescited by 5
12 most cited of 21 All 21 (JSON)
- 2026Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus17 Mar 2026
- 2025ParlaSpeech 3.0: Richly Annotated Spoken Parliamentary Corpora of Croatian, Czech, Polish, and Serbian3 Nov 2025
- 2025DRIVE: Disfluency-Rich Synthetic Dialog Data Generation Framework for Intelligent Vehicle Environments26 Jul 2025
- 2024Enhancing Naturalness in LLM-Generated Utterances through Disfluency Insertion17 Dec 2024
- 2023Towards End-to-End Spoken Grammatical Error Correction9 Nov 2023
- 2023Automatic Disfluency Detection from Untranscribed Speech1 Nov 2023
- 2023The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems28 Jul 2023
- 2023Weakly-supervised forced alignment of disfluent speech using phoneme-level modeling30 May 2023
- 2023Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives25 Jan 2023
- 2022A novel multimodal dynamic fusion network for disfluency detection in spoken utterances27 Nov 2022
- 2022Artificial Disfluency Detection, Uh No, Disfluency Generation for the Masses16 Nov 2022
- 2022Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective5 Nov 2022
12 newest of 21 All 21 (JSON)