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Conversational telephone speech recognition for Lithuanian
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-01837147 ; Computer Speech and Language, Elsevier, 2018, 49, pp.71-82 (2018)
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Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
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In: DTIC (2011)
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Comparison of Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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Abstract:
Automatic detection of sentences in speech is useful to enrich speech recognition output and ease subsequent language processing modules. In the recent NIST evaluations for this task, an error rate was used to evaluate system performance. A variety of metrics such as F-measure, ROC or DET curves have also been explored in other studies. This paper aims to take a closer look at the evaluation issue for sentence boundary detection. We employ different metrics NIST error rate, classification error rate per word boundary, precision and recall, ROC curve, DET curve, precision-recall curve, and the area under the curves, to compare different system output. In addition we use two different corpora in order to evaluate the impact of different imbalance in the data set. We show that it is helpful to use curves as well as a single performance metric, and that different curves show different advantages in visualization. Furthermore, the data skewness also has an impact on the metrics. ; Prepared in cooperation with University of Texas, Austin, TX; and International Computer Science Institute, Berkeley, CA.
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Keyword:
*MEASURES OF EFFECTIVENESS; *PARSERS; AUC(AREA UNDER RECEIVER OPERATING CHARACTERISTIC CURVE); Computer Programming and Software; CTS(CONVERSATIONAL TELEPHONE SPEECH); DET CURVES; GRAMMARS; Information Science; LANGUAGE; Linguistics; LM(LANGUAGE MODELS); METRICS; NATURAL LANGUAGE; NIST(NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY); ROC CURVES; ROC(RECEIVER OPERATING CHARACTERISTIC); SENTENCE BOUNDARIES; SOCIAL COMMUNICATION; SPEECH PROCESSING; SPEECH RECOGNITION; Voice Communications; WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA534445
http://www.dtic.mil/docs/citations/ADA534445
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