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Hybrid HMM/ANN systems for speech recognition: Overview and new research directions

https://doi.org/10.1007/bfb0054006
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-3210-1openalex-snapshot
Connectionist Speech Recognition
inferredcites →https://doi.org/10.1007/978-3-642-76153-9_28openalex-snapshot
Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
inferredcites →https://doi.org/10.1109/2.28openalex-snapshot
The 'neural' phonetic typewriter
inferredcites →https://doi.org/10.1109/5.18626openalex-snapshot
A tutorial on hidden Markov models and selected applications in speech recognition
inferredcites →https://doi.org/10.1109/5.381844openalex-snapshot
Neural networks for statistical recognition of continuous speech
inferredcites →https://doi.org/10.1109/72.125866openalex-snapshot
Global optimization of a neural network-hidden Markov model hybrid
inferredcites →https://doi.org/10.1109/89.260358openalex-snapshot
A hybrid segmental neural net/hidden Markov model system for continuous speech recognition
inferredcites →https://doi.org/10.1109/89.260359openalex-snapshot
Connectionist probability estimators in HMM speech recognition
inferredcites →https://doi.org/10.1109/89.326615openalex-snapshot
How do humans process and recognize speech?
inferredcites →https://doi.org/10.1109/icassp.1982.1171633openalex-snapshot
Linear predictive hidden Markov models and the speech signal
inferredcites →https://doi.org/10.1109/icassp.1986.1169200openalex-snapshot
On hidden Markov models in isolated word recognition
inferredcites →https://doi.org/10.1109/icassp.1990.115636openalex-snapshot
A probabilistic approach to the understanding and training of neural network classifiers
inferredcites →https://doi.org/10.1109/icassp.1990.115740openalex-snapshot
Word recognition using hidden control neural architecture
inferredcites →https://doi.org/10.1109/icassp.1990.115742openalex-snapshot
Large vocabulary recognition using linked predictive neural networks
inferredcites →https://doi.org/10.1109/icassp.1990.115970openalex-snapshot
Hidden Markov model decomposition of speech and noise
inferredcites →https://doi.org/10.1109/icassp.1991.150493openalex-snapshot
A cepstral noise reduction multi-layer neural network
inferredcites →https://doi.org/10.1109/icassp.1993.319279openalex-snapshot
Improvements in connected digit recognition using linear discriminant analysis and mixture densities
inferredcites →https://doi.org/10.1109/icassp.1995.479275openalex-snapshot
Recent improvements to the ABBOT large vocabulary CSR system
inferredcites →https://doi.org/10.1109/icassp.1995.479668openalex-snapshot
Efficient search using posterior phone probability estimates
inferredcites →https://doi.org/10.1109/icassp.1997.596171openalex-snapshot
Modelling asynchrony in speech using elementary single-signal decomposition
inferredcites →https://doi.org/10.1109/icslp.1996.607145openalex-snapshot
A mew ASR approach based on independent processing and recombination of partial frequency bands
inferredcites →https://doi.org/10.1109/icslp.1996.607851openalex-snapshot
Stochastic perceptual speech models with durational dependence
inferredcites →https://doi.org/10.1109/nnsp.1991.239506openalex-snapshot
Connectionist speaker normalization and its applications to speech recognition
inferredcites →https://doi.org/10.1109/nnsp.1991.239512openalex-snapshot
New discriminative training algorithms based on the generalized probabilistic descent method
inferredcites →https://doi.org/10.1109/tassp.1984.1164320openalex-snapshot
The use of a one-stage dynamic programming algorithm for connected word recognition
inferredcites →https://doi.org/10.1109/tassp.1986.1164788openalex-snapshot
Speaker-independent isolated word recognition using dynamic features of speech spectrum
inferredcites →https://doi.org/10.1121/1.399423openalex-snapshot
Perceptual linear predictive (PLP) analysis of speech
inferredcites →https://doi.org/10.1162/neco.1989.1.1.1openalex-snapshot
Review of Neural Networks for Speech Recognition
inferredcites →https://doi.org/10.1162/neco.1991.3.4.461openalex-snapshot
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
inferredcites →https://doi.org/10.21236/ada460339openalex-snapshot
Improving State-of-the-Art Continuous Speech Recognition System Using the N-Best Paradigm with Neural Networks
inferredcites →https://doi.org/10.21437/eurospeech.1993-401openalex-snapshot
A neural network based, speaker independent, large vocabulary, continuous speech recognition system: the WERNICKE project
inferredcites →https://doi.org/10.21437/eurospeech.1995-332openalex-snapshot
Multi-lingual assessment of speaker independent large vocabulary speech-recognition systems: THE SQALE-PROJECT
inferredcites →https://doi.org/10.21437/eurospeech.1995-402openalex-snapshot
REMAP: recursive estimation and maximization of a posteriori probabilities in connectionist speech recognition
inferredcites →https://doi.org/10.21437/eurospeech.1997-518openalex-snapshot
Estimation of global posteriors and forward-backward training of hybrid HMM/ANN systems
inferredcites →https://doi.org/10.21437/eurospeech.1997-7openalex-snapshot
Using multiple time scales in a multi-stream speech recognition system
inferredcites →https://doi.org/10.21437/icslp.1994-77openalex-snapshot
Connected digit recognition using connectionist probability estimators and mixture-Gaussian densities
inferredcites →https://doi.org/10.21437/icslp.1996-90openalex-snapshot
A new ASR approach based on independent processing and recombination of partial frequency bands
inferredcites →https://doi.org/10.3115/1075527.1075567openalex-snapshot
Improving state-of-the-art continuous speech recognition systems using the N-best paradigm with neural networks
inferredcites →https://doi.org/10.52202/079017openalex-snapshot
Advances in Neural Information Processing Systems 37

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling
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Comprehensive and Systematic Review of Various Feature Extraction Techniques for Vernacular Languages
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Lexicon Free Arabic Speech Recognition Recipe
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Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
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Hybrid Models for Automatic Speech Recognition: A Comparison of Classical ANN and Kernel Based Methods
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Event Detection by HMM, SVM and ANN: A Comparative Study
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A Comparison of Acoustic Models Based on Neural Networks and Gaussian Mixtures
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Continuous Speech Recognition Technologies—A Review
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Efficient MLP constructive training algorithm using a neuron recruiting approach for isolated word recognition system
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A comparative study of different features for isolated spoken word recognition using HMM with reference to Assamese language
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Multi-stream adaptive evidence combination for noise robust ASR
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Graphic Representation Method and Neural Network Recognition of Time-Frequency Vectors of Speech Information
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