Improving recognizer acceptance through robust, natural speech repair
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In prior work at our laboratories [8], a rescoring approach to interactive error recovery based on the information available in N-best lists was implemented and evaluated on the Resource Management task; the drawback is that error recovery fails when no significantly better alternative can be found in the N-best list.
“In prior work at our laboratories [8], a rescoring approach to interactive error recovery based on the information available in Nbest lists was implemented and evaluated on the Resource Management task. The drawback of this approach is that error recovery fails when no significantly better alternative can be found in the N-best list.”
From Interactive recovery from speech recognition errors in speech user interfaces (2002) · cites this paper as [8]
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Multimodal error correction for speech user interfaces
Suhm, B., Myers, B., & Waibel, A. (2001) · ACM Transactions on Computer-Human Interaction · doi:10.1145/371127.371166 · Cited by 198 · see citing works
Self-citationFive Challenges for Intelligent Text Entry Methods
Kristensson, P. O., & Jameson, A. (2009) · AI Magazine · doi:10.1609/aimag.v30i4.2269 · Cited by 75 · see citing works
Interactive recovery from speech recognition errors in speech user interfaces
Suhm, B., Myers, B., & Waibel, A. (2002) · Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96 · doi:10.1109/icslp.1996.607738 · Cited by 73 · see citing works
Self-citation
- Authors
- McNair, A. E., & Waibel, A.
- Venue
- 3rd International Conference on Spoken Language Processing (ICSLP 1994)
- Publisher
- ISCA
- Published
- 1994-09-18
- Pages
- 1299-1302
- OpenAlex
- W93888255
- Cited by
- 41
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2021: 1 · 2020: 2 · 2018: 1 · 2015: 1 · 2014: 1 · 2012: 2
- FWCI
- 1.65
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Spoken Language Processing (ICSLP) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- speech repair, speech recognition, robust speech recognition, natural speech
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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