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Articles 1 - 20 of 20
Full-Text Articles in Engineering
Hmm - Impact Of Window Size And Frame Size On Asr Performance, Sanjay A. Patil, Jun Won Suh
Hmm - Impact Of Window Size And Frame Size On Asr Performance, Sanjay A. Patil, Jun Won Suh
Sanjay A. Patil
No abstract provided.
Pulse Multiplication In Forced-Commutated Current Source Converters By Dc Ripple Reinjection, J. Arrillaga, N. R. Watson, Lasantha B. Perera, Y. H. Liu
Pulse Multiplication In Forced-Commutated Current Source Converters By Dc Ripple Reinjection, J. Arrillaga, N. R. Watson, Lasantha B. Perera, Y. H. Liu
Lasantha Bernard Perera
A dc-ripple reinjection scheme is described that doubles the number of pulses of the forcecommutated current source converter. The reinjection circuit includes a feedback converter in series with the dc output which provides automatic adjustment of the reinjected current as the dc side current changes. The reinjection concept is also generalised to produce pulse multiplication.
Speaker Identification Using Usable Speech Concept, Ananth N. Iyer, Brett Y. Smolenski, Robert E. Yantorno, Jashmin K. Shah, Edward J. Cupples, Stanley J. Wenndt
Speaker Identification Using Usable Speech Concept, Ananth N. Iyer, Brett Y. Smolenski, Robert E. Yantorno, Jashmin K. Shah, Edward J. Cupples, Stanley J. Wenndt
Ananth N Iyer
Most signal processing involves processing a signal without concern for the quality or information content of that signal. In speech processing, speech is processed on a frame-by-frame basis, usually only with concern that the frame is either speech or silence. However, knowing how reliable the information is in a frame of speech can be very important and useful. This is where usable speech detection and extraction can play a very important role. The usable speech frames can be defined as frames of speech that contain higher information content compared to unusable frames with reference to a particular application. We have …
Robust Speaker Verification With Principal Pitch Components, Robert M. Nickel, Sachin P. Oswal, Ananth N. Iyer
Robust Speaker Verification With Principal Pitch Components, Robert M. Nickel, Sachin P. Oswal, Ananth N. Iyer
Ananth N Iyer
We are presenting a new method that improves the accuracy of text dependent speaker identification systems. The new method exploits a set of novel speech features that is derived from a principal component analysis (PC) of voiced speech segments. The new PC features are only weakly correlated with the corresponding cepstral features. A distance measure that combines both, cepstral and PC pitch features provides a discriminative power that cannot be achieved with cepstral features alone. It is well known that the discriminative power of cepstral features declines if the dimensionality of the feature space is increased beyond its optimal value. …
Sequential K-Nn Pattern Recognition For Usable Speech Classification, Jashmin K. Shah, Brett Y. Smolenski, Robert E. Yantorno, Ananth N. Iyer
Sequential K-Nn Pattern Recognition For Usable Speech Classification, Jashmin K. Shah, Brett Y. Smolenski, Robert E. Yantorno, Ananth N. Iyer
Ananth N Iyer
The accuracy of speech processing techniques degrades when operating in a co-channel environment. Co-channel speech occurs when more than one person is talking at the same time. The idea of usable speech segmentation is to identify and extract those portions of co-channel speech that are minimally degraded but still useful for speech processing application such as speaker identification. Usable speech measures are features that are extracted from the co-channel signal to distinguish between usable and unusable speech. In this paper, a new usable speech extraction technique is presented. The new method extracts features recursively and variable length segmentation is performed …
A Generalized Neuron Based Pss In A Multi-Machine Power System, D. K. Chaturvedi, O. P. Malik, P. K. Kalra
A Generalized Neuron Based Pss In A Multi-Machine Power System, D. K. Chaturvedi, O. P. Malik, P. K. Kalra
D. K. Chaturvedi Dr.
An artificial neural network can work as an intelligent controller for nonlinear dynamic systems through learning, as it can easily accommodate the nonlinearities and time dependencies. In dealing with complex problems, most common neural networks have some drawbacks of large training time, large number of neurons and hidden layers. These drawbacks can be overcome by a nonlinear controller based on a generalized neuron (GN) which retains the quick response of neural net. Results of studies with a GN-based power system stabilizer on a five-machine power system show that it can provide good damping over a wide operating range and significantly …
Applications Of Generalised Neural Network For Aircraft Landing Control System, D. K. Chaturvedi, R. Chauhan, P. K. Kalra
Applications Of Generalised Neural Network For Aircraft Landing Control System, D. K. Chaturvedi, R. Chauhan, P. K. Kalra
D. K. Chaturvedi Dr.
It is observed that landing performance is the most typical phase of an aircraft perfromance. During landing operation the stability and controllability are the major considerations. To achieve safe landing, an aircraft has to be controlled in such a way that its wheels touch the ground comfortably and gently within the paved surface of the runway. The conventional control theory found very successful in solving well defined problems, which are described precisely with definite and clearly mentioned boundaries. In real life systems the boundaries can't be defined clearly and conventional controller does not give satisfactory results. Whenever, an aircraft deviates …
Determination And Control Of The Impact Of The Manoeuvres Of The Compensation Batteries On The Over Voltages And The Transient Over Currents, Hocine . Labar
Determination And Control Of The Impact Of The Manoeuvres Of The Compensation Batteries On The Over Voltages And The Transient Over Currents, Hocine . Labar
Boukhemis Chetate
No abstract provided.
Usable Speech Detection Using A Context Dependent Gaussian Mixture Model Classifier, Robert E. Yantorno, Brett Y. Smolenski, Ananth N. Iyer, Jashmin K. Shah
Usable Speech Detection Using A Context Dependent Gaussian Mixture Model Classifier, Robert E. Yantorno, Brett Y. Smolenski, Ananth N. Iyer, Jashmin K. Shah
Ananth N Iyer
Speech that is corrupted by nonstationary interference, but contains segments that are still usable for applications such as speaker identification or speech recognition, is referred to as "usable" speech. A common example of nonstationary interference occurs when there is more than one person talking at the same time, which is known as co-channel speech. In general the above speech processing applications do not work in co-channel environments; however, they can work on the extracted usable segments. Unfortunately, currently available usable speech measures only detect about 75% of the total available usable speech. The first reason for this high error stems …
A Case For Including Harmonic Distortion Components In Docsis’ Rf Specifications For Non Aggregating Spurious Components, Ron D. Katznelson
A Case For Including Harmonic Distortion Components In Docsis’ Rf Specifications For Non Aggregating Spurious Components, Ron D. Katznelson
Ron D. Katznelson
This note is submitted in support of a change in DOCSIS specifications for spurious performance. It shows that the impact of a proposed change is negligible and that the advantages far outweigh the perceived disadvantages of adopting such a change.
Improved Generalized Neuron Model For Short Term Load Forecasting, D. K. Chaturvedi, Ravindra Kumar, P. K. Kalra
Improved Generalized Neuron Model For Short Term Load Forecasting, D. K. Chaturvedi, Ravindra Kumar, P. K. Kalra
D. K. Chaturvedi Dr.
The conventional neural networks consisting of simple neuron models have various drawbacks like large training time for complex problems, huge data requirement to train non linear complex problems, unknown ANN structure, the relatively larger number of hidden nodes required, problem of local minima etc. To make the Artificial Neural Network more efficient and to overcome the above-mentioned problems the new improved generalized neuron model is proposed in this work. The proposed neuron models have both summation and product as aggregation function. The generalized neuron models have flexibility at both the aggregation and activation function level to cope with the non-linearity …
A Simple Scheme For Loss Angle Measurement Of A Capacitor’ , Mukhtar Ahmad
A Simple Scheme For Loss Angle Measurement Of A Capacitor’ , Mukhtar Ahmad
Mukhtar Ahmad
This paper presents a very simple electronic circuit for direct measurement of loss angle of a leaky capacitor. The circuit used can directly provide loss angle or tan /spl delta/ in terms of a pulse count. The circuit uses very few components, requires no special supply, and is suitable for a large range of capacitor values.
A Generalized Neuron Based Adaptive Power System Stabilizer, D. K. Chaturvedi, O. P. Malik, P. K. Kalra
A Generalized Neuron Based Adaptive Power System Stabilizer, D. K. Chaturvedi, O. P. Malik, P. K. Kalra
D. K. Chaturvedi Dr.
Artificial neural networks (ANNs) can be used as intelligent controllers to control nonlinear, dynamic systems through learning, which can easily accommodate the nonlinearities and time dependencies. However, they require long training time and large numbers of neurons to deal with complexproblems. To overcome these drawbacks, a generalised neuron (GN) has been developed that requires much smaller training data and shorter training time. Taking benefit of these characteristics of the GN, a new generalised neuron-based adaptive power system stabiliser (GNPSS) is proposed. The GNPSS consists of a GN as an identifier, which tracks the dynamics of the plant, and a GN …
A Zonal Congestion Management Using Transmission Congestion Distribution Factors, Ashwani Kumar, Sc Srivastava, Sn Singh
A Zonal Congestion Management Using Transmission Congestion Distribution Factors, Ashwani Kumar, Sc Srivastava, Sn Singh
SN Singh PhD
No abstract provided.
Online Assessment And Control Of Transient Oscillations Damping, Arturo Roman Messina
Online Assessment And Control Of Transient Oscillations Damping, Arturo Roman Messina
A. R. Messina
No abstract provided.
Design Of Multiple Facts Controllers For Damping Inter-Area Oscillations: A Decentralized Control Approach, Arturo Roman Messina
Design Of Multiple Facts Controllers For Damping Inter-Area Oscillations: A Decentralized Control Approach, Arturo Roman Messina
A. R. Messina
In this paper, a frequency-domain methodology based on decentralised control theory is proposed to co-ordinate multiple FACTS controllers as well as to minimise the potential for adverse interaction between control loops. First, the concept of dynamic loop interaction in multiple-input multiple-output (MIMO) control systems is introduced. Using the notion of a generalised dynamic relative gain in decentralised control systems, a method is then proposed to determine the best pairing of inputs and outputs for the design of MIMO systems. Finally, a residue-based method is adopted to tune system controllers. The design methodology is tested on a 6-area, 130-machine and 351- …
Funções De Base Nebulosas E Modelagem De Dinâmica Não-Linear, Gladstone B. Alves
Funções De Base Nebulosas E Modelagem De Dinâmica Não-Linear, Gladstone B. Alves
Gladstone B. Alves
No abstract provided.
Propriedades Das Funções De Base Radiais Aplicadas À Identificação De Sistemas Dinâmicos Não-Lineares, Gladstone B. Alves
Propriedades Das Funções De Base Radiais Aplicadas À Identificação De Sistemas Dinâmicos Não-Lineares, Gladstone B. Alves
Gladstone B. Alves
No abstract provided.
Impact Of Linear Transmission Impairments On Optical Burst Switching (Obs) Networks, Ioannis Karamitsos, Evagelos Varthis
Impact Of Linear Transmission Impairments On Optical Burst Switching (Obs) Networks, Ioannis Karamitsos, Evagelos Varthis
John P. Karamitsos
No abstract provided.
Routing Mechanisms For Ip Over Obs-Wdm Optical Networks, Ioannis Karamitsos, Evagelos Varthis
Routing Mechanisms For Ip Over Obs-Wdm Optical Networks, Ioannis Karamitsos, Evagelos Varthis
John P. Karamitsos
No abstract provided.