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A hybrid speech recognition system using HMMs with an LVQ-trained codebook

Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott, Yoh'ichi Tohkura
1990 Journal of the Acoustical Society of Japan (E)  
A new speech recognition system using the neurally-inspired Learning Vector Quantiza tion(LVQ) to train HMM codebooks is described.  ...  Both LVQ and HMMs are stochas ticalgorithms holding considerable promise for speech recognition. In particular, LVQ is a vector quantizer with very powerful classification ability.  ...  ACKNOWLEDGMENTS The authors wish to thank Toshiyuki Hanazawa in the ATR Interpreting Telephony Research Lab oratoriesfor helping us with HMM software. Thanks are also due to Dr.  ... 
doi:10.1250/ast.11.277 fatcat:tek3eu3ruzhenbjrixlvrg5k3q

Re-evaluation of LVQ-HMM hybrid algorithm

Hitoshi Iwamida, Shigeru Katagiri, Erik McDermott
1993 Journal of the Acoustical Society of Japan (E)  
The LVQ-HMM hybrid algorithm was one of the first algorithms proposed in a recent approach aiming to integrate a highly discriminative artificial neural network-based classifier with an HMM capable of  ...  However, the performance of LVQ-HMM has been less striking in more difficult, large scale speech recognition situations, making evaluation of the algorithm controversial and suggesting a more detailed  ...  Toshiyuki Hana zawa of the ATR Interpreting Telephony Research Laboratories (currently Mitsubishi Electrical Cor poration)for his help in using the HMM-LR soft -ware.  ... 
doi:10.1250/ast.14.267 fatcat:5lvmscxmk5grdgw3y4nqd2unr4

Hidden Neural Network for Complex Pattern Recognition: A Comparison Study with Multi- Neural Network Based Approach

Lilia Lazli, Mounir Boukadoum
2013 International Journal of Life Science and Medical Research  
Keywords-Medical Diagnosis; Speech Recognition; K-means Clustering; Hybrid RBF/LVQ Model; Hybrid HMM/MLP Model I.  ...  RBF) as a classifier. (2) Hybrid HMM/MLP model using a Multi Layer-Perceptron (MLP) to estimate the Hidden Markov Models (HMM) emission probabilities.  ...  results with hybrid RBF/LVQ model for biomedical DB (a) and speech DBs (b) Fig. 8 8 Discrete HMM results for biomedical DB and speech DBs Fig. 9 9 Hybrid HMM/MLP results for biomedical DB and speech  ... 
doi:10.5963/lsmr0306003 fatcat:e63nnycsxvf6zawzqaqgselr7i

Segmental Lvq3 Training For Phoneme-Wise Tied Mixture Density Hmms

M. Kurimo
1996 Zenodo  
The hybrid discrete HMM LVQ systems 2] u s e L VQ t o train a vector quantization (VQ) codebook to transform the acoustic features into short-time phoneme symbols called "quasiphonemes".  ...  For continuous density HMMs with mixture Gaussian densities the LVQ w as rst used to improve the mixture initialization 11] and to enhance the discrimination between the maximum likelihood models by corrective  ... 
doi:10.5281/zenodo.36307 fatcat:hoii56goc5ayjblitq2ztu6dhm

Arabic digits speech recognition and speaker identification in noisy environment using a hybrid model of VQ and GMM

Abdelkbir Ouisaadane, Said Safi, Miloud Frikuil
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
This paper presents an automatic speaker identification and speech recognition for Arabic digits in noisy environment.  ...  In this paper, we have proposed a system based on MFCC-GMM and MFCC-VQ approaches on the one hand and by using the hybrid approach MFCC-VQ-GMM on the other hand for speaker modeling.  ...  We used the LBG algorithm to build a codebook from a set of training vector for this purpose [42] .  ... 
doi:10.12928/telkomnika.v18i4.14215 fatcat:yp2qxivgwbcrdl77o3bszrtcje

Assamese Numeral Speech Recognition Using Multiple Features And Cooperative Lvq -Architectures

Manash Pratim Sarma, Kandarpa Kumar Sarma
2011 Zenodo  
numbers as part of an Automatic Speech Recognition (ASR) system in Assamese.  ...  A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied recording conditions and moods  ...  INTRODUCTION Speech recognition is a method that uses an audio input for data entry to a computer or a digital system allowing it to derive some meaning out of it.  ... 
doi:10.5281/zenodo.1079783 fatcat:rmmbnkdmg5fadgwgt6d7ycaqme

A Review on Speech Recognition Technique

Santosh K. Gaikwad, Bharti W. Gawali, Pravin Yannawar
2010 International Journal of Computer Applications  
Speech has potential of being important mode of interaction with computer .This paper gives an overview of major technological perspective and appreciation of the fundamental progress of speech recognition  ...  This paper is concludes with the decision on feature direction for developing technique in human computer interface system using Marathi Language.  ...  A novel approach [33] for a hybrid connectionist HMM speech recognition system based on the use of a Neural Network as a vector quantize.  ... 
doi:10.5120/1462-1976 fatcat:zx4z3uczqjh2hhnrtc46b3rycu

A survey of hybrid ANN/HMM models for automatic speech recognition

Edmondo Trentin, Marco Gori
2001 Neurocomputing  
The goal in hybrid systems for ASR is to take advantage from the properties of both HMMs and ANNs, improving #exibility and recognition performance. A variety of di!  ...  Then we focus on ANNs to estimate posterior probabilities of the states of an HMM and on'globala optimization, where a single, overall training criterion is de"ned over the HMM and the ANNs.  ...  wish to acknowledge Renato De Mori and Yoshua Bengio for their unvaluable contributions, Fabio Brugnara for his trellis artwork, and two anonymous reviewers of Neurocomputing, whose comments allowed for a  ... 
doi:10.1016/s0925-2312(00)00308-8 fatcat:bkjdthljuzh67mhxufphghule4

A Robust Isolated Automatic Speech Recognition System using Machine Learning Techniques

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
In order to make fast communication between human and machine, speech recognition system are used. Number of speech recognition systems have been developed by various researchers.  ...  In this paper the main focus is given to addition of machine learning in speech recognition system.  ...  So, for real-time speech decoding on a connected-digit recognition task, use of proposed hybrid WLS-SVC/HMM system is allowed by reduction in complexity by two to three orders of magnitude with respect  ... 
doi:10.35940/ijitee.j8765.0881019 fatcat:n7vfdkeehfavzf2utjlpuggiui

Speaker recognition—general classifier approaches and data fusion methods

Ravi P. Ramachandran, Kevin R. Farrell, Roopashri Ramachandran, Richard J. Mammone
2002 Pattern Recognition  
Speaker recognition refers to the concept of recognizing a speaker by his=her voice or speech samples.  ...  This paper is purely a tutorial that presents a review of the classiÿer based methods used for speaker recognition. Both unsupervised and supervised classiÿers are described.  ...  A GMM can be viewed as a hybrid between a simple Bayesian discriminant using only one Gaussian density and a VQ codebook that can model arbitrary probability densities by a discrete collection of centroids  ... 
doi:10.1016/s0031-3203(01)00235-7 fatcat:khojdy7q6bg7pmtgculhb3cufi

Speech Recognition by Machine, A Review [article]

M. A. Anusuya, S. K. Katti
2010 arXiv   pre-print
This paper presents a brief survey on Automatic Speech Recognition and discusses the major themes and advances made in the past 60 years of research, so as to provide a technological perspective and an  ...  The objective of this review paper is to summarize and compare some of the well known methods used in various stages of speech recognition system and identify research topic and applications which are  ...  ., Bangalore, for their useful discussions and suggestions during the preparation of this technical paper.  ... 
arXiv:1001.2267v1 fatcat:yvcif2cb2jgkbjcqreid7cxanu

Improving Human Computer Interaction through Spoken Natural Language

Omar Florez-Choque, Ernesto Cuadros-Vargas
2007 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing  
This model incorporates a Hybrid Intelligent System based on Genetic Algorithms and a Kohonen Self-Organizing Map (SOM) to recognize the present phonemes in a word through time.  ...  This approach allows us to remake up a word with speaker independence.  ...  Rosa Alarcón Choque, University of Chile at Santiago, and Marco A. Alvarez, State University of Utah, for their invaluable encouragement.  ... 
doi:10.1109/ciisp.2007.369193 fatcat:geqkld6z2retpmgdjhcl73uejy

出力情報のフィードバックを有するLVQ-HMM音韻認識システム
An LVQ-HMM phoneme recognition system with information feedback

Takuya Koizumi, Jyoji Urata, Shuji Taniguchi
1992 Acoustical Science and Technology  
Toh ・ kura, " A hybrid speech recognition system using HMMs with an LVQtrained codebOok , " 工 Acoust. Soc . Jpn . ( E ) Markov mode1 $, " Proc . 1991 工 nt . Conf.  ...  従 っ て 2>よ り ,参照 用 ベ ク トル mi に 付 加 さ れ る べ き 一 一 一 一 一 一 > Training −・ 一 ・ 一 ・ … 一 > Test Fig . 1 B1 k diagram o 員 he LVQHMM phoneme recognition system .  ... 
doi:10.20697/jasj.48.11_769 fatcat:r4knf4as3rghfgufzk6ll6zv64

Combined Classifiers for Invariant Face Recognition [article]

Ahmad H. A. Eid
2016 arXiv   pre-print
The system is applied to face images of 392 persons. The system shows remarkable stability and high recognition rate using a reduced number of parameters.  ...  The system illustrates the possibility of designing a combined system that benefits from the strengths of its base classifiers while avoiding many of their weaknesses.  ...  Decision regions of LVQ network after training Training progress of an LVQ weight vector trained on input face images Standard deviation values for a face image (a), a trained LVQ weight (b), and an untrained  ... 
arXiv:1607.06973v1 fatcat:ko5tl4ez4na5zmayukgi6cwzui

On-line Cutting Tool Condition Monitoring in Machining Processes Using Artificial Intelligence [chapter]

Antonio J., Rubn Morales-Menndez, J.R. Alique
2008 Robotics Automation and Control  
A proposal to exploit speech recognition frameworks in monitoring systems of the cutting tool wear condition is presented in (Vallejo et al., 2005) .  ...  In (Sick, 2002a) , a new hybrid technique for cutting tool wear monitoring, which fuses a physical process model with an ANN model is proposed for turning.  ... 
doi:10.5772/5833 fatcat:ng2h52rplbhtnjyf6qdsu2nxyq
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