Search Results - "Harris, John G."

A sawtooth waveform inspired pitch estimator for speech and music by Camacho, Arturo, Harris, John G.

“…A sawtooth waveform inspired pitch estimator (SWIPE) has been developed for speech and music. SWIPE estimates the pitch as the fundamental frequency of the…”
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Automatic speech recognition using a predictive echo state network classifier by Skowronski, Mark D., Harris, John G.

“…We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called the predictive ESN classifier…”
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Editorial: Bio-inspired Audio Processing, Models and Systems by Liu, Shih-Chii, Harris, John G, Elhilali, Mounya, Slaney, Malcolm

“…[...]a paper by Encke and Hemmert introduces a spiking neuron model based on recent physiological findings in mammals for the detection of interaural time…”
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Conductivity dependence of seismoelectric wave phenomena in fluid-saturated sediments by Block, Gareth I., Harris, John G.

“…Seismoelectric phenomena in sediments arise from acoustic wave–induced fluid motion in the pore space, which perturbs the electrostatic equilibrium of the…”
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Acoustic detection and classification of microchiroptera using machine learning : Lessons learned from automatic speech recognition by SKOWRONSKI, Mark D, HARRIS, John G

“…Current automatic acoustic detection and classification of microchiroptera utilize global features of individual calls (i.e., duration, bandwidth, frequency…”
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The coupling of elastic, surface-wave modes by a slow, interfacial inclusion by Harris, John G, Block, Gareth

“…A layer of homogeneous, isotropic, elastic material overlays a substrate of similar material. The shear wavespeed within the layer is less than that of the…”
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Applied principles of clear and Lombard speech for automated intelligibility enhancement in noisy environments by Skowronski, Mark D., Harris, John G.

“…Previous studies have documented phenomena involving the modification of human speech in special communication circumstances. Whether speaking to a…”
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Exploiting independent filter bandwidth of human factor cepstral coefficients in automatic speech recognition by SKOWRONSKI, Mark D, HARRIS, John G

“…Mel frequency cepstral coefficients (MFCC) are the most widely used speech features in automatic speech recognition systems, primarily because the coefficients…”
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Using the Bi-Masquelet Technique and Reamer-Irrigator-Aspirator for Post-traumatic Foot Reconstruction by Huffman, Lanie K., Harris, John G., Suk, Michael

“…Level of Evidence: V, Expert Opinion…”
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Limb-Length Discrepancy as a Cause of Plantar Fasciitis by MAHMOOD, Sadia, HUFFMAN, Lanie K, HARRIS, John G

“…Anisomelia, or limb-length discrepancy, has disruptive effects on gait, posture, and ambulation. Limb-length discrepancy has been shown to be a factor in…”
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Nonuniformity correction of infrared image sequences using the constant-statistics constraint by Harris, J.G., Yu-Ming Chiang

“…Using clues from neurobiological adaptation, we have developed the constant-statistics (CS) algorithm for nonuniformity correction of infrared focal point…”
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Noise-Robust Automatic Speech Recognition Using a Predictive Echo State Network by Skowronski, M.D., Harris, J.G.

“…Artificial neural networks have been shown to perform well in automatic speech recognition (ASR) tasks, although their complexity and excessive computational…”
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Spiking Neuron Computation With the Time Machine by Garg, V., Shekhar, R., Harris, J. G.

“…The Time Machine (TM) is a spike-based computation architecture that represents synaptic weights in time. This choice of weight representation allows the use…”
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Computing pitch of speech and music using a sawtooth waveform inspired pitch estimator by Camacho, Arturo, Harris, John G.

“…A powerful pitch estimation algorithm called SWIPE has been developed for processing speech and music. SWIPE is shown to outperform existing algorithms on…”
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Effectiveness of a robust computer assisted pronunciation training tool by Cho, Kwansun, Harris, John G., Wayland, Ratree

“…A reliable ASR-based pronunciation training tool named STAR (self-training accent reduction) is implemented for native speakers of Korean learning American…”
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Ascertaining the importance of neurons to develop better brain-machine interfaces by Sanchez, J.C., Carmena, J.M., Lebedev, M.A., Nicolelis, M.A.L., Harris, J.G., Principe, J.C.

“…In the design of brain-machine interface (BMI) algorithms, the activity of hundreds of chronically recorded neurons is used to reconstruct a variety of…”
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Linear Elastic Waves by Harris, John G.

“…Wave propagation and scattering are among the most fundamental processes that we use to comprehend the world around us. While these processes are often very…”
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A biologically inspired pitch determination algorithm by Camacho, Arturo, Harris, John G.

“…A biologically inspired pitch determination algorithm is presented. This algorithm combines existing models of the cochlea and inner-hair-cell based spike…”
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Modeling the precedence effect for speech using the gamma filter by Schwartz, Odelia, G. Harris, John, C. Principe, Jose

“…The ability of the human auditory system to localize the direction of a sound source in a reverberant environment extends from simple clicks to complex speech…”
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Prediction of Intrauterine Pressure From Electrohysterography Using Optimal Linear Filtering by Skowronski, M.D., Harris, J.G., Marossero, D.E., Edwards, R.K., Euliano, T.Y.

“…We propose a method of predicting intrauterine pressure (IUP) from external electrohysterograms (EHG) using a causal FIR Wiener filter. IUP and 8-channel EHG…”
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