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Data-Driven Design of Front-End Filter Ban

by Petr Fouse
"... Adverse environments not only corrupt speech signal by additive and convolutional noises, which can be successfully addressed by a number of suppression algorithms, but also affect the way how speech is produced. Speech production variations introduced by a speaker in reaction to a noisy background ..."
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outperform conventional cepstral features. Index Terms: robust speech recognition, Lombard effect, feature extraction, filter bank, data-driven design

Data-driven design of RASTA-like filters

by Van Vuuren, Hynek Hermansky - Proc. Eurospeech 97, Rhodos , Greece , 1997
"... We describe use of Linear Discriminant Analysis (LDA) for data-driven automatic design of RASTA-like lters. The LDA applied to rather long segments of time trajectories of critical-band energies yields FIR lters to be applied to these time trajectories in the feature extraction module. Fre-quency re ..."
Abstract - Cited by 34 (14 self) - Add to MetaCart
We describe use of Linear Discriminant Analysis (LDA) for data-driven automatic design of RASTA-like lters. The LDA applied to rather long segments of time trajectories of critical-band energies yields FIR lters to be applied to these time trajectories in the feature extraction module. Fre

F.: Data-driven design of engineering processes with COREPROModeler

by Manfred Reichert, Joachim Herbst - In: WETICE (ProGility , 2007
"... Enterprises increasingly demand IT support for the co-ordination of their engineering processes, which often con-sist of hundreds up to thousands of sub-processes. From a technical viewpoint, these sub-processes have to be concur-rently executed and synchronized considering numerous in-terdependenci ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
-processes are often correlated to the assembly of a product (represented by a product data struc-ture). This information can be utilized for the modeling and execution of so-called data-driven process structures. In this paper, we present the COREPRO demonstrator that supports the data-driven modeling

A data-driven design for deriving usability metrics

by Tamara Babaian, Wendy Lucas, Heikki Topi - In ICSOFT (ISDM/EHST/DC , 2007
"... Abstract: The complexity of Enterprise Information Systems can be overwhelming to users, yet they are an often over-looked domain for usability research. To better understand the ways in which users interact with these systems, we have designed an infrastructure for input logging that is built upon ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract: The complexity of Enterprise Information Systems can be overwhelming to users, yet they are an often over-looked domain for usability research. To better understand the ways in which users interact with these systems, we have designed an infrastructure for input logging that is built upon

Data-driven design of front-end filter bank for Lombard speech recognition

by Petr Fousek, Petr Pollák - in Proc. of ICSLP‘06 , 2006
"... Adverse environments not only corrupt speech signal by additive and convolutional noises, which can be successfully addressed by a number of suppression algorithms, but also affect the way how speech is produced. Speech production variations introduced by a speaker in reaction to a noisy background ..."
Abstract - Cited by 11 (6 self) - Add to MetaCart
outperform conventional cepstral features. Index Terms: robust speech recognition, Lombard effect, feature extraction, filter bank, data-driven design

Automotive engine fdi by application of an automated model-based and data-driven design methodology. Control Engineering Practice

by Carl Svärd, Mattias Nyberg, Erik Frisk, Mattias Krys, Post Print, Carl Svärd, Mattias Nyberg, Erik Frisk, Mattias Krys, Automotive Engine Fdi, Carl Svärda, Mattias Nybergb, Erik Friska, Mattias Krys
"... Automotive engine FDI by application of an automated model-based and data-driven design methodology ..."
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Automotive engine FDI by application of an automated model-based and data-driven design methodology

Four Chairs and All the Others- Eigenchair Data driven design

by Miro Roman
"... Abstract. By contemplating on the Eigenchair project, we ponder upon strategies and concepts of designing by using information technologies. What are the potentials of data driven design? What happens with objects when they are abstracted and reduced to a set of data? The emphasis is no longer on th ..."
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Abstract. By contemplating on the Eigenchair project, we ponder upon strategies and concepts of designing by using information technologies. What are the potentials of data driven design? What happens with objects when they are abstracted and reduced to a set of data? The emphasis is no longer

What is Data Driven Design?...................................................................1 Advantages of Data Driven Design...........................................................1 Code Reuse........................................................

by Robert Clutton, Human Specialisation , 2005
"... ..."
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Abstract not found

Data-driven Design of Fuzzy System with Relational Input Partition

by Adam E. Gaweda, Jacek M. Zurada
"... An approach to data-driven linguistic modeling is presented. The methodology is based on a fuzzy system with relational input partition that allows for transparent modeling of linear dependencies between the inputs. An identification algorithm for this type of fuzzy system is proposed. It automatica ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
An approach to data-driven linguistic modeling is presented. The methodology is based on a fuzzy system with relational input partition that allows for transparent modeling of linear dependencies between the inputs. An identification algorithm for this type of fuzzy system is proposed

Data-driven design and complexity control of time}frequency detectors

by unknown authors , 1998
"... In this paper, we introduce a method of designing optimal time}frequency detectors from training samples, which is potentially of great bene"t when few a priori information on the nonstationary signal to be detected is available. However, achieving good performance with data-driven detectors re ..."
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In this paper, we introduce a method of designing optimal time}frequency detectors from training samples, which is potentially of great bene"t when few a priori information on the nonstationary signal to be detected is available. However, achieving good performance with data-driven detectors
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