speech pattern recognition using neural networks

... improve disambiguation among word hypotheses Neural networksAmong the many pattern recognition methods I chose to study the Neural Network approach A neural network is a wonderful tool that can ... spellings Pattern recognitionPattern recognition is a major area of computing in which searches are particularly active There are a very large number of applications that may require a recognition ... acknowledged that successful applications of neural computing require a principled, rather than ad hoc, approach From the perspective of pattern recognition, neural networks can be regarded as an extension

Ngày tải lên: 12/02/2021, 21:35

... 0.5) PATTERN RECOGNITION APPLICATIONS • Biometrics: voice, iris, finger print, face, and gait recognition • Lie detector • Handwritten Zip code/digit/letter recognition • Speech/voice recognition ... traditional Latin-based character sets Trang 35IV Neural networks Among the many pattern recognition methods I chose to study the Neural Network approach A neural network is a wonderful tool that can ... output y: y = h (x) NEURAL NETWORKS An artificial neural network is a computational model whose design is roughly based on the functioning of real neurons (human or not) Neural networks are usually

Ngày tải lên: 25/02/2021, 15:45

... 0.5) PATTERN RECOGNITION APPLICATIONS • Biometrics: voice, iris, finger print, face, and gait recognition • Lie detector • Handwritten Zip code/digit/letter recognition • Speech/voice recognition ... traditional Latin-based character sets Trang 35IV Neural networks Among the many pattern recognition methods I chose to study the Neural Network approach A neural network is a wonderful tool that can ... output y: y = h (x) NEURAL NETWORKS An artificial neural network is a computational model whose design is roughly based on the functioning of real neurons (human or not) Neural networks are usually

Ngày tải lên: 27/02/2021, 23:48

... 0.5) PATTERN RECOGNITION APPLICATIONS • Biometrics: voice, iris, finger print, face, and gait recognition • Lie detector • Handwritten Zip code/digit/letter recognition • Speech/voice recognition ... traditional Latin-based character sets Trang 35IV Neural networks Among the many pattern recognition methods I chose to study the Neural Network approach A neural network is a wonderful tool that can ... output y: y = h (x) NEURAL NETWORKS An artificial neural network is a computational model whose design is roughly based on the functioning of real neurons (human or not) Neural networks are usually

Ngày tải lên: 22/01/2024, 17:04

... much of the difficulties encountered in pattern recognition, In this chapter I give a general presentation of the main pattern recognition techniques Pattern recognition is the set of the methods ... 0.5) PATTERN RECOGNITION APPLICATIONS © Biometrics: voice, iris, finger print, face, and gait recognition © Lie detector ¢ Handwritten Zip code/digit/letter recognition © Speech/voice recognition ... Latin-based character sets Trang 35-33-IV Neural networks Among the many pattern recognition methods I chose to study the Neural Network approach ‘A neural network is a wonderful tool that can

Ngày tải lên: 09/06/2025, 12:47

... much of the difficulties encountered in pattern recognition, In this chapter I give a general presentation of the main pattern recognition techniques Pattern recognition is the set of the methods ... much of the difficulties encountered in pattern recognition, In this chapter I give a general presentation of the main pattern recognition techniques Pattern recognition is the set of the methods ... much of the difficulties encountered in pattern recognition, In this chapter I give a general presentation of the main pattern recognition techniques Pattern recognition is the set of the methods

Ngày tải lên: 22/06/2025, 02:59

... of GAs on the HC Problems 54 12 Performance of GAs using AVEˆp 55 13 Comparison of GAs and NNs on the HC Problems 56 Trang 8USING NEURAL NETWORKS AND GENETIC ALGORITHMSAS HEURISTICS FOR NP-COMPLETE ... ofpowerful, yet general problem solving methods These two methods are neuralnetworks (NNs) and genetic algorithms (GAs) Neural networks and genetic algorithms are similar in the sense that they ... Connectionism Recent enthusiasm for neural networks has led many researchers to combineGAs and connectionism in some fashion Since GAs are evolutionary in nature,and neural networks are cognitive models,

Ngày tải lên: 13/04/2019, 01:29

... application using image Design a real application using image p pattern attern Part I: Design a real application using image Design a real application using image p pattern attern recognition with recognition ... Segment 5 number patterns a neural network - Check result (OK or reject) p - Rotate & Crop Postcode area Trang 7NEURAL NETWORK FOR PATTERN RECOGNITION NEURAL NETWORK FOR PATTERN RECOGNITION ... Part III: Recognition with Neural Network Part III: Recognition with Neural Network + Theory of Neural Network + Using Neural Network for Pattern Recognition Trang 3MỤC TIÊU CỦA CHUYÊN ĐỀ MỤC TIÊU

Ngày tải lên: 02/06/2022, 09:21

... The model of SER using FAM-based fuzzy inference systemFor implementation, a toolbox for speech motion recognition has been built inMatlab platform called SERT (Speech Emotion Recognition Toolbox) ... learned iteratively as in Eq (3.11).3.7 The Model of SER using FAM-based Fuzzy Inference SystemThe system model of speech emotion recognition using fuzzy inference system based on fuzzy associative ... source code of various speech emotion feature algorithms online which makes the extensive work easier.3- Matlab itself is the most commonly used one in speech signal processing, neural network and

Ngày tải lên: 08/11/2024, 17:07

... by neural networks Specifically, we use conventional feed-forward deep neural networks The effect of number of hidden layers will be discussed in the experiment section Since deep neural networks ... boosted by using statistical parametric speech synthesis (SPSS) such as hidden Markov model [6] This approach had incredibly advanced the quality of synthesized speech Recently, deep neural networks ... IV–1229 [7] H Ze, A Senior, and M Schuster, “Statistical parametric speech synthesis using deep neural networks,” in Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference

Ngày tải lên: 11/01/2020, 00:40

... Trang 1PHÒNG QUẢN LÝ KHOA HỌC - SAU ĐẠI HỌC (3-D OBJECT RECOGNITION USING WAVELETS AND NEURAL NETWORKS) GIÁO VIÊN HƯỚNG DẪN : TS LÊ TIẾN THƯỜNG HỌC VIÊN THỰC HIỆN : ... NHẬN DẠNG VẬT THỂ 3 CHIỀU SỬ DỤNG BIẾN ĐỔI WAVELETS VÀ MẠNG NƠRON (3-D OBJECT RECOGNITION USING WAVELETS AND NEURAL NETWORKS) GIÁO VIÊN HƯỚNG DẪN : TS LÊ TIẾN THƯỜNG HỌC VIÊN THỰC HIỆN : TRẦN ... has been a challenge for predicting the recognition performance In this thesis, we present a method for 3-D target recognition using Wavelets Transform and Neural Network based on Geometrical Theory

Ngày tải lên: 16/04/2021, 04:28

... phone recognition, are successfully applied to large vocabulary speech recognition (LVSR) problems A Previous work using neural network acoustic models The combination of artificial neural networks ... model for large vocabulary speech recognition (LVSR) that leverages recent advances in using deep belief networks for phone recog-nition We describe a pre-trained deep neural network hidden Markov ... advances from the speech research community directly without developing replacement techniques and tools contributed to a shift from using neural nets to predict phonetic states to using neural nets

Ngày tải lên: 03/01/2023, 13:17

... Trang 2MULTI-CHANNEL SPEECH ENHANCEMENT USING GRAPH NEURAL NETWORKS Trang 3MỤC LỤC• I GIỚI THIỆU • II SƠ LƯỢC VỀ GRAPH • III MÔ HÌNH MẠNG ... trúc graph được đưa qua các lớp GCN có công thức: Trang 10V THIẾT LẬP HUẤN LUYỆN • Sử dụng LibriSpeech dataset bao gồm 1000h (16 kHz) • Tiến hành mô phỏng âm thanh trong phòng với 3 kiểu theo

Ngày tải lên: 13/11/2023, 04:41

... 9Acknowledgements i1.1 Automatic Speech Recognition 3 1.2 Deep Neural Networks for ASR 8 1.3 Major Contributions 10 1.4 Organization of Thesis 11 2 Noise-Robust Speech Recognition 13 2.1 Model ... x the clean speech signal y the noisy speech signal z the additive noise signal Trang 23• Bo Li, Khe Chai Sim; A Spectral Masking Approach to Deep Neural Networkbased Robust Speech Recognition, ... Transactions on Audio, Speech,and Language Processing, IEEE/ACM, 2013 Net-• Bo Li, Khe Chai Sim; Improving Robustness of Deep Neural Networks via SpectralMasking for Automatic Speech Recognition, in

Ngày tải lên: 09/09/2015, 11:23

... visual event recognition in a number of works In [4], Rota et al presented an ele-gant treatment for representing activities using declarative models Recognition was performed effectively using a ... (e.g [3]), or DBNs ([2]), events are represented with probabilistic models Event recognition is usually performed using maximum likelihood estimation given observation sequences While these approaches ... sense knowledge is represented using first order logic state-ments Both negation and disjunction are allowed 2 Uncertainty of primitive event detection is represented using detection prob-abilities

Ngày tải lên: 23/03/2014, 13:20

... [13] To make a nonaudible murmur-based speech recognition system more flexible, we conducted experiments for audible speech and nonaudible murmur recognition using a stetho-scope NAM microphone ... differences, normal-speech hidden Markov models (HMMs) cannot be used for recognition of speech captured by a NAM microphone To realize nonaudible murmur recognition, new HMMs have to be trained using nonaudible ... 50 60 70 80 90 69.9 Figure 14: Nonaudible murmur recognition using Lombard data and a multilevel common HMM set 5 AUDIBLE SPEECH RECOGNITION USING A STETHOSCOPE MICROPHONE The achieved results

Ngày tải lên: 22/06/2014, 23:20

... using radial basis functions,” EURASIP... Jain and J Mao, Eds., “Special issue on artificial neural networks and statistical pattern recognition,” IEEE Transactions on Neural Networks, ... Neural Computation, vol 5, no 2, pp 305–316, 1993 [16] D F Specht, “Probabilistic neural networks, ” Neural Networks, vol 3,... no 1, pp 109–118, 1990 Bearing Fault Detection Using ... feedforward networks are universal approximators,” Neural Networks, vol 2, no 5, pp 359–366, 1989 [15] J Park and I W Sandberg, “Universal approximation using radial-basis-function networks,

Ngày tải lên: 23/06/2014, 01:20

... If we could make a neural network model which has the same capability for pattern recognition as a human being, it would give us a powerful clue to the understanding of the neural mechanism ... by the distortion in shape of the input patterns. Hence, their ability for pattern recognition was not so high. In this paper, we propose an improved neural network model. The structure of ... shape of the stimulus pattern, and is not affected by the position where the pattern is presented. That is, the network has an ability of position-invariant pattern- recognition. In the field

Ngày tải lên: 08/07/2014, 17:02

... scale up to large speech recognition tasks This thesis demonstrates that neural networks can indeed form the basis for a general purpose speech recognition system, and that neural networks offer ... and a summary of related work in speech recognition and neural networks: • Chapter reviews the field of speech recognition • Chapter reviews the field of neural networks • Chapter reviews the intersection ... present approaches to speech recognition using neural networks The remainder of the thesis describes our own research, evaluating both predictive networks and classification networks as acoustic...

Ngày tải lên: 28/04/2014, 10:18

... network Nonlinearity is a feature of neural networks in general, hence this is not an advantage of predictive networks over classification networks Although predictive networks yield a whole frame of ... Networks 81 6.3 Linked Predictive Neural Networks We explored the use of predictive networks as acoustic models in an architecture that we called Linked Predictive Neural Networks (LPNN), which was ... word recognition and continuous speech recognition 6.3.1 Basic Operation Predicted Speech Frame Predictor for /A/ (10 hidden units) Good Prediction ⇒ /A/ A Prediction Errors B A B Input Speech...

Ngày tải lên: 13/08/2014, 02:21