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“There's no rules. It's hackathon.”: Negotiating Commitment in a Context of Volatile Sociality
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In: American Anthropological Association (2015)
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2007 NIST Language Recognition Evaluation Supplemental Training Set
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2007 NIST Language Recognition Evaluation Supplemental Training Set ...
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2004 Spring NIST Rich Transcription (RT-04S) Development Data
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2004 Spring NIST Rich Transcription (RT-04S) Evaluation Data
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2004 Spring NIST Rich Transcription (RT-04S) Development Data ...
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2004 Spring NIST Rich Transcription (RT-04S) Evaluation Data ...
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2002 Rich Transcription Broadcast News and Conversational Telephone Speech
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2002 Rich Transcription Broadcast News and Conversational Telephone Speech ...
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Effects of Speech Recognition Accuracy on the Performance of DARPA Communicator Spoken Dialogue Systems
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In: DTIC (2004)
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Abstract:
The DARPA Communicator program explored ways to construct better spoken-dialogue systems, with which users interact via speech alone to perform relatively complex tasks such as travel planning. During 2000 and 2001 two large data sets were collected from sessions in which paid users did travel planning using the Communicator systems that had been built by eight research groups. The research groups improved their systems intensively during the ten months between the two data collections. In this paper, we analyze these data sets to estimate the effects of speech recognition accuracy, as measured by Word Error Rate (WER), on other metrics. The effects that we found were linear. We found correlation between WER and Task Completion, and that correlation, unexpectedly, remained more or less linear even for high values of WER. The picture for User Satisfaction metrics is more complex: we found little effect of WER on User Satisfaction for WER less than about 35% to 40% in the 2001 data. The size of the effect of WER on Task Completion was less in 2001 than in 2000, and we believe this difference is due to improved strategies for accomplishing tasks despite speech recognition errors, which is an important accomplishment of the research groups who built the Communicator implementations. We show that additional factors must account for much of the variability in task success, and we present multivariate linear regression models for task success on the 2001 data. We also discuss the apparent gaps in the coverage of our metrics for spoken dialogue systems.
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Keyword:
*COMMUNICATOR SPOKEN DIALOGUE SYSTEM; *LINEAR REGRESSION ANALYSIS; *SPEECH RECOGNITION; ACCURACY; ASR(AUTOMATIC SPEECH RECOGNITION); DARPA COMMUNICATOR PROGRAM; DATA ACQUISITION; EFFICIENCY; MULTIVARIATE LINEAR REGRESSION MODELS; Statistics and Probability; TASK COMPLETION; TASK SUCCESS; USER SATISFACTION; Voice Communications; WER(WORD ERROR RATE)
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URL: http://www.dtic.mil/docs/citations/ADA523241 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA523241
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