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Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling

https://doi.org/10.1007/11550822_93
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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/10.1007/978-3-642-35289-8_19openalex-snapshot
Neural Network Classification and Prior Class Probabilities
inferredcites →https://doi.org/10.1007/bfb0053992openalex-snapshot
Adaptive Processing of Sequences and Data Structures
inferredcites →https://doi.org/10.1007/bfb0054006openalex-snapshot
Hybrid HMM/ANN systems for speech recognition: Overview and new research directions
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
inferredcites →https://doi.org/10.7282/t3-vpfw-sf95openalex-snapshot
The effect of class distribution on classifier learning: an empirical study

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-22895-8_8openalex-snapshot
Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus
inferred← citeshttps://doi.org/10.1007/978-3-030-26061-3_13openalex-snapshot
Differentiating Laughter Types via HMM/DNN and Probabilistic Sampling
inferred← citeshttps://doi.org/10.1007/978-3-319-10816-2_14openalex-snapshot
Document Classification with Deep Rectifier Neural Networks and Probabilistic Sampling
inferred← citeshttps://doi.org/10.1007/978-3-319-66429-3_22openalex-snapshot
Classification of Formal and Informal Dialogues Based on Turn-Taking and Intonation Using Deep Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-70096-0_16openalex-snapshot
Comparing Hybrid NN-HMM and RNN for Temporal Modeling in Gesture Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-95996-2_1openalex-snapshot
Using Deep Rectifier Neural Nets and Probabilistic Sampling for Topical Unit Classification
inferred← citeshttps://doi.org/10.1016/j.cmpb.2019.06.019openalex-snapshot
Automatic segmentation of hyperreflective foci in OCT images
inferred← citeshttps://doi.org/10.1038/s41598-025-00303-zopenalex-snapshot
Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset
inferred← citeshttps://doi.org/10.1109/coginfocom.2016.7804549openalex-snapshot
Topical unit classification using deep neural nets and probabilistic sampling
inferred← citeshttps://doi.org/10.1109/taffc.2018.2871450openalex-snapshot
Social Signal Detection by Probabilistic Sampling DNN Training
inferred← citeshttps://doi.org/10.1109/tasl.2010.2050513openalex-snapshot
Data Balancing for Efficient Training of Hybrid ANN/HMM Automatic Speech Recognition Systems
inferred← citeshttps://doi.org/10.1109/tasl.2011.2178597openalex-snapshot
Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines
inferred← citeshttps://doi.org/10.14232/phd.10835openalex-snapshot
Optical coherence tomography biomarkers in wet age-related macular degeneration
inferred← citeshttps://doi.org/10.14232/phd.4225openalex-snapshot
Training Methods for Deep Neural Network-Based Acoustic Models in Speech Recognition
inferred← citeshttps://doi.org/10.21437/interspeech.2014-109openalex-snapshot
Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks
inferred← citeshttps://doi.org/10.21437/interspeech.2016-962openalex-snapshot
Determining Native Language and Deception Using Phonetic Features and Classifier Combination
inferred← citeshttps://doi.org/10.21437/interspeech.2017-338openalex-snapshot
Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling
inferred← citeshttps://doi.org/10.21437/interspeech.2017-905openalex-snapshot
DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification
inferred← citeshttps://doi.org/10.21437/interspeech.2019-2552openalex-snapshot
Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data
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