Speech recognition with dynamic Bayesian networks
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Design of an Analogue VLSI Model of an Active Cochlea
Analog Integrated Circuits and Signal Processing
Speech Recognition Experiments with Silicon Auditory Models
Analog Integrated Circuits and Signal Processing
Applying classification algorithms in practice
Statistics and Computing
Thematic indexing of spoken documents by using self-organizing maps
Speech Communication
A hybrid syllable recognition system based on vowel spotting
Speech Communication
Phonetic Classification in Spanish Using a Hierarchy of Specialized ANNs
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Building Language Models for Continuous Speech Recognition Systems
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Speech Recognition Issues for Dutch Spoken Document Retrieval
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Forward Decoding Kernel Machines: A Hybrid HMM/SVM Approach to Sequence Recognition
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
MLPs and Mixture Models for the Estimation of the Posterior Probabilities of Class Membership
TSD '99 Proceedings of the Second International Workshop on Text, Speech and Dialogue
Belarussian Speech Recognition Using Genetic Algorithms
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
The Divide-and-Conquer Manifesto
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Sequence Learning - Paradigms, Algorithms, and Applications
Speaker Identification Using Autoregressive Hidden Markov Models and Adaptive Vector Quantisation
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Phonetic alignment: speech synthesis-based vs. viterbi-based
Speech Communication
Noise-tolerant speech recognition: the SNN-TA approach
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Spoken language analysis, modeling and recognition-statistical and adaptive connectionist approaches
Blind Model Selection for Automatic Speech Recognition in Reverberant Environments
Journal of VLSI Signal Processing Systems
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Adaptive multilingual sentence boundary disambiguation
Computational Linguistics
A Neural Network-Hidden Markov Model Hybrid for Cursive Word Recognition
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
ICML '06 Proceedings of the 23rd international conference on Machine learning
Chirp group delay analysis of speech signals
Speech Communication
Robust ASR using Support Vector Machines
Speech Communication
Hybrid modeling, hmm/nn architectures, and protein applications
Neural Computation
Broad phonetic classification using discriminative Bayesian networks
Speech Communication
Improvement of the speech recognition in noisy environments using a nonparametric regression
International Journal of Parallel, Emergent and Distributed Systems
Large vocabulary continuous speech recognition using associative memory and hidden Markov model
SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
Intelligent Multi-modal Interfaces for Mobile Applications in Hostile Environment(IM-HOST)
Human Machine Interaction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Speech recognition using augmented conditional random fields
IEEE Transactions on Audio, Speech, and Language Processing
Classification of graphical data made easy
Neurocomputing
Unsupervised nonparametric density estimation: a neural network approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A new algorithm for the classification of earthquake damages in structures
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
HMM/MLP hybrid speech recognizer for the Portuguese telephone SpeechDat corpus
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
Spectral analysis of speech signals using chirp group delay
Progress in nonlinear speech processing
SVMs for automatic speech recognition: a survey
Progress in nonlinear speech processing
Using hidden Markov models for recognizing action primitives in complex actions
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
An application of recurrent neural networks to discriminative keyword spotting
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Posterior-based features and distances in template matching for speech recognition
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Parallel implementation of Artificial Neural Network training for speech recognition
Pattern Recognition Letters
Continuous Malayalam speech recognition using Hidden Markov Models
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Enhanced phone posteriors for improving speech recognition systems
IEEE Transactions on Audio, Speech, and Language Processing
Hybrid HMM/BLSTM-RNN for robust speech recognition
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Improving isolated handwritten word recognition using a specialized classifier for short words
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Speech recognition experiments with audiobooks
Acta Cybernetica
The efficient incorporation of MLP features into automatic speech recognition systems
Computer Speech and Language
Bidirectional LSTM networks for improved phoneme classification and recognition
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario
ACM Transactions on Speech and Language Processing (TSLP)
The role of neural network size in TRAP/HATS feature extraction
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
International Journal of Speech Technology
A novel connectionist-oriented feature normalization technique
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Hierarchical multi-stream posterior based speech recognition system
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Identification of t–s fuzzy classifier via linear matrix inequalities
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Training HMM/ANN hybrid speech recognizers by probabilistic sampling
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Recognizing action primitives in complex actions using hidden markov models
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
On the adequacy of baseform pronunciations and pronunciation variants
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
Design of t–s fuzzy classifier via linear matrix inequality approach
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
An on-line system for remote treatment of aphasia
SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Explicit duration modelling in HMM/ANN hybrids
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
Simple and effective connectionist nonparametric estimation of probability density functions
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Predictive connectionist approach to speech recognition
Nonlinear Speech Modeling and Applications
A speech recognizer based on multiclass SVMs with HMM-Guided segmentation
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Spotting multilingual consonant-vowel units of speech using neural network models
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Artificial neural networks as multi-networks automated test oracle
Automated Software Engineering
Phase AutoCorrelation (PAC) features for noise robust speech recognition
Speech Communication
Discriminative feature extraction for speech recognition using continuous output codes
Pattern Recognition Letters
A hybrid HMM/ANN model for activity recognition in the home using binary sensors
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
International Journal of Speech Technology
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From the Publisher:Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state-of-the-art continuous speech recognition systems based on Hidden Markov Models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e., HMM emission probability estimation and feature extraction. The book describes a successful five year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical system. Using standard databases and comparing with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition: A Hybrid Approach is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. This book is also suitable as a text for advanced courses on neural networks or speech processing.