DARPA communicator evaluation: progress from 2000 to 2001

Walker, Marilyn A.; Rudnicky, Alexander I.; Aberdeen, John S.; Bratt, Elizabeth Owen; Garofolo, John S.; Hastie, Helen Wright; Le, Audrey N.; Pellom, Bryan L.; Potamianos, Alexandros; Passonneau, Rebecca J.; Prasad, Rashmi; Roukos, Salim; Sanders, Gregory A.; Seneff, Stephanie; Stallard, David

doi:10.21437/icslp.2002-133

Cited by 20 publications

(5 citation statements)

References 9 publications

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“…For example, well-known Shazam music recognition method uses only spectral peaks [162]. Commonly used mel-cepstral coefficients, line spectral frequencies, and RASTA features [134,135] do not have any temporal information, either. We believe that temporal information is not fully utilized in current methods.…”

Section: Beyond the State Of The Artmentioning

confidence: 99%

Novel Methods for Forensic Multimedia Data Analysis: Part I

Perner¹

2020

Digital Forensic Science

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The increased usage of digital media in daily life has resulted in the demand for novel multimedia data analysis techniques that can help to use these data for forensic purposes. Processing of such data for police investigation and as evidence in a court of law, such that data interpretation is reliable, trustworthy, and efficient in terms of human time and other resources required, will help greatly to speed up investigation and make investigation more effective. If such data are to be used as evidence in a court of law, techniques that can confirm origin and integrity are necessary. In this chapter, we are proposing a new concept for new multimedia processing techniques for varied multimedia sources. We describe the background and motivation for our work. The overall system architecture is explained. We present the data to be used. After a review of the state of the art of related work of the multimedia data we consider in this work, we describe the method and techniques we are developing that go beyond the state of the art. The work will be continued in a Chapter Part II of this topic.

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Section: Beyond the State Of The Artmentioning

confidence: 99%

Novel Methods for Forensic Multimedia Data Analysis: Part I

Perner¹

2020

Digital Forensic Science

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“…HMMs and GMMs use features extracted from temporal speech windows. Current speech and sound feature extraction schemes are based on Fourier analysis [131,134,135]. Temporal information is only incorporated to the automatic speech recognition systems by only dividing speech into temporal analysis windows.…”

Section: State Of the Artmentioning

confidence: 99%

Section: Beyond the State Of The Artmentioning

confidence: 99%

Digital Forensic Science

Roussev

2017

Synthesis Lectures on Information Security, Privacy, and Trust

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“…If however one in fifty callers are changing bank so that they can talk to a human, then perhaps there is an actual commercial reason to look at why people swear at machines. In the work described here, I look at data from the DARPA Communicator project [21] in which high profile research institutions looked at the nature of human-computer conversation in the context of making travel plans. With these stateof-the-art systems, over a quarter of the calls resulted in the user not wanting to "use the system on a regular basis".…”

Section: Introductionmentioning

confidence: 99%

Revisiting the DARPA communicator data using conversation analysis

Wallis

2008

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The state of the art in human computer conversation leaves something to be desired and, indeed, talking to a computer can be down-right annoying. This paper describes an approach to identifying "opportunities for improvement" in these systems by looking for abuse in the form of swear words. The premise is that humans swear at computers as a sanction and, as such, swear words represent a point of failure where the system did not behave as it should. Having identified where things went wrong, we can work backward through the transcripts and, using conversation analysis (CA) work out how things went wrong. Conversation analysis is a qualitative methodology and can appear quite alien -indeed unscientific -to those of us from a quantitative background. The paper starts with a description of Conversation analysis in its modern form, and then goes on to apply the methodology to transcripts of frustrated and annoyed users in the DARPA Communicator project. The conclusion is that there is at least one species of failure caused by the inability of the Communicator systems to handle mixed initiative at the discourse structure level. Along the way, I hope to demonstrate that there is an alternative future for computational linguistics that does not rely on larger and larger text corpora.

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DARPA communicator evaluation: progress from 2000 to 2001

Cited by 20 publications

References 9 publications

Novel Methods for Forensic Multimedia Data Analysis: Part I

Novel Methods for Forensic Multimedia Data Analysis: Part I

Digital Forensic Science

Revisiting the DARPA communicator data using conversation analysis

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