Spotting events in continuous speech

Jeanrenaud, P.; Siu, Man-Hung; Rohlíček, Ján; Meteer, Marie; Gish, H.

doi:10.1109/icassp.1994.389276

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…A search of the traditional ROC literature [Swets 1988;Egan 1975;Swets and Pickett 1982] shows no mention of this formulation. It does appear, without comment or justification in the wordspotting literature [James and Young 1994;Jeanrenaud et al 1994;Lippmann et al 1994;Junkawitsch et al 1998;Dharanipragada and Roukos 1998], where it is usually, but not always, referred to as a ROC curve. We speculated that false alarms per unit time might be a surrogate measure for percent false alarms under the assumption that spoken word rates are approximately constant (at least compared to Internet traffic rates) across many speakers or passages and we were concerned that there might be assumptions associated with the word-spotting usage that would not hold for intrusion detection.…”

Section: Errors Per Unit Timementioning

confidence: 99%

Testing Intrusion detection systems

McHugh

2000

ACM Trans. Inf. Syst. Secur.

1,027

272

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In 1998 and again in 1999, the Lincoln Laboratory of MIT conducted a comparative evaluation of intrusion detection systems (IDSs) developed under DARPA funding. While this evaluation represents a significant and monumental undertaking, there are a number of issues associated with its design and execution that remain unsettled. Some methodologies used in the evaluation are questionable and may have biased its results. One problem is that the evaluators have published relatively little concerning some of the more critical aspects of their work, such as validation of their test data. The appropriateness of the evaluation techniques used needs further investigation. The purpose of this article is to attempt to identify the shortcomings of the Lincoln Lab effort in the hope that future efforts of this kind will be placed on a sounder footing. Some of the problems that the article points out might well be resolved if the evaluators were to publish a detailed description of their procedures and the rationale that led to their adoption, but other problems would clearly remain.

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Section: Errors Per Unit Timementioning

confidence: 99%

Testing Intrusion detection systems

McHugh

2000

ACM Trans. Inf. Syst. Secur.

1,027

272

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“…And also, there are discrimination techniques using linguistic features. Keyword or key-phrase spotting based methods [7,8] have been proposed. However, using keyword spotting based method, it is difficult to distinguish system requests from explanations of system usage.…”

Section: : Introductionmentioning

confidence: 99%

Human-Robot Interface Using System Request Utterance Detection Based on Acoustic Features

Takiguchi

Sako

Revaud

et al. 2008

2008 International Conference on Multimedia and Ubiquitous Engineering (Mue 2008)

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“…And also, there are discrimination techniques using linguistic features. Keyword or key-phrase spotting based methods (T. Kawahara, et al, 1998) (P. Jeanrenaud, et al, 1994 have been proposed. However, using keyword spotting based method, it is difficult to distinguish system requests from explanations of system usage.…”

Section: Introductionmentioning

confidence: 99%