Publication | Closed Access
Some statistical issues in the comparison of speech recognition algorithms
643
Citations
3
References
2003
Year
Speech SciencesEngineeringSpeech CorpusSpoken Language ProcessingMatched-pairs TestIsolated-word AlgorithmsSpeech RecognitionPattern RecognitionRobust Speech RecognitionVoice RecognitionCorpus AnalysisStatisticsHealth SciencesComputer ScienceSignal ProcessingSpeech CommunicationSpeech TechnologySpeech Recognition AlgorithmsSpeech AnalysisSpeech AcousticsSpeech ProcessingIndependent EventsSpeech InputSpeech PerceptionLinguistics
The authors present two simple tests for deciding whether the difference in error rates between two algorithms tested on the same data set is statistically significant. The first (McNemar's test) requires the errors made by an algorithm to be independent events and is found to be most appropriate for isolated-word algorithms. The second (a matched-pairs test) can be used even when errors are not independent events and is more appropriate for connected speech.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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