NDLI: Speech recognition using neural networks

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12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL)

11th Symposium on Neural Network Applications in Electrical Engineering

10th Symposium on Neural Network Applications in Electrical Engineering

Organizing committee

Table of contents

Tutorial lecture 1: Nucleotide genomic signal methodology

Nucleotide genomic signal methodology

Special session 1: Data processing and neural networks for rehabilitation of sensory-motor systems

Classification of walking patterns in Parkinson's disease patients based on inertial sensor data

Mapping of sensory representation of walking and EMG of prime joint movers: Control of functional electrical stimulation

Classification of muscle twitch response using ANN: Application in multi-pad electrode optimization

An EMG system for studying motor control strategies and fatigue

Independent Component Analysis (ICA) methods for neonatal EEG artifact extraction: Sensitivity to variation of artifact properties

Action representation for Wii bowling: Classification

A closed-loop neural prosthesis for vestibular disorders

Session 2: Neural networks in power engineering

An enhanced ANN wind power forecast model based on a fuzzy representation of wind direction

A class of neural adaptive FIR filters for complex-valued load prediction

Design of artificial neural network models for the prediction of the Hellenic energy consumption

Early fault detection and isolation in coal mills based on self-organizing maps

Artificial neural networks broken rotor bars induction motor fault detection

Session 3: Neural networks in biomedical applications

Quantum-holographic Hopfield-like biomolecular recognition

Multi-threading protein surface functional description

Automatic spleen segmentation in MRI images using a combined neural network and recursive watershed transform

Region-based phonocardiogram event segmentation in spectrogram image

An efficient ECG modeling for heartbeat classification

Metrological verification of FPGA based device for measuring EEG signal

Session 4: Neural networks in modelling and applications

Microwave applicators modeling — Alternative approaches based on neural networks incorporating domain knowledge

On the neural approach for FET small-signal modelling up to 50GHz

Adaptive neural network workflow management for Utility Management Systems

The self-similar numbers as a special case of cyclic numbers and their relation to the cyclic (genetic) codes

Singularly impulsive mathematical model of Delta — Notch signaling system

Tutorial lecture 2: Advances in cognitive robotics, achievements and challenge

Advances in cognitive robotics, achievements and challenge

Session 5: Neural and fuzzy networks in prediction

ANN versus Grey theory based forecasting methods implemented on short time series

Hierarchical approach to diagnosis of electronic circuits using ANNs

Automatic survey processing using a MLP neural net

An efficient finite precision RBF-M neural network architecture using support vectors

Design of fuzzy controllers based on automatic selection of membership functions shapes

Using neural clustering for business improvement companies

Session 6: Realizations of neural networks

Improved neural network for checking the stability of multidimensional systems

Nonnegative contraction/averaging tensor factorization

Packet routing in wireless mesh networks

Coherence resonance in chains of noisy excitable neurons coupled by interactions with delay

ANN output energy control for laser surgical ophthalmic microscopes

High-speed implementation of Hamming neural network

Session 7: Neural networks and signal processing 1

Performance of multilayer perceptrons for classification of LIBS protein spectra

Combining acoustic and visual modalities in vowel recognition system for laryngectomees

Speech recognition using neural networks

The database of radar echoes from various targets with spectral analysis

Neural network for single phoneme recognition based on mel-frequency cepstral coefficients coding

Tutorial lecture 3: From nature to methods and back to nature

From nature to methods and back to nature

Session 8: Neural networks and signal processing 2

Consistent generalization of classical Boolean two-valued into real-valued theories

A new method for human face recognition using texture and depth information

Image objects detection based on boosting neural network

Farsi and Latin script identification using curvature scale space features

Cluster based weighted SVM for the recognition of Farsi handwritten digits

Text line segmentation by adapted water flow algorithm

Classification of room impulse responses with self-organizing maps

CIS distinguished lecture: Analysis, design, and selected applications of multiple winners-take-all networks

Analysis, design, and selected applications of multiple winners-take-all networks

2008 9th Symposium on Neural Network Applications in Electrical Engineering

2006 8th Seminar on Neural Network Applications in Electrical Engineering

7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004

6th Seminar on Neural Network Applications in Electrical Engineering

Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287)

Speech recognition using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Tsenov, G.T. Mladenov, V.M.
Copyright Year	2010
Description	Author affiliation: Department Theory of Electrical Engineering, Technical University of Sofia, 8 Kl. Ohridski Str., Sofia-1000, Bulgaria (Tsenov, G.T.; Mladenov, V.M.)
Abstract	This paper presents investigation on speech recognition classification performance when using different standard neural networks structures as a classifier. Those cases include usage of a Feed-forward Neural Network (NN) with back propagation algorithm and a Radial Basis Functions (RBF) Neural Network.
Starting Page	181
Ending Page	186
File Size	500736
Page Count	6
File Format	PDF
ISBN	9781424488216
e-ISBN	9781424488209
DOI	10.1109/NEUREL.2010.5644073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-23
Publisher Place	Serbia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Speech Spectrogram Speech recognition Markov processes Cepstrum Hidden Markov models Mel Frequency Cepstrum Coefficients Neural networks Feedforward Neural Network Radial Basis Functions Neural Network Signal Preprocessing
Content Type	Text
Resource Type	Article

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