conftrace_

hidden markov model

302 papers

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Also known as

HMM

Co-occurring keywords

deep neural network (1803) bayesian inference (1907) gaussian mixture model (389) automatic speech recognition (1774) variational inference (2069) speech recognition (1226) recurrent neural network (1790) time series (435) acoustic model (277) neural network (6616)

Papers

Anchor-Constrained Viterbi for Set-Supervised Action Segmentation CVPR 2021
The Influence of Parallel Processing on Illusory Vowels INTERSPEECH 2021
Systems for Low-Resource Speech Recognition Tasks in Open Automatic Speech Recognition and Formosa Speech Recognition Challenges INTERSPEECH 2021
Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning INTERSPEECH 2021
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept INTERSPEECH 2021
The TNT Team System Descriptions of Cantonese and Mongolian for IARPA OpenASR20 INTERSPEECH 2021
Low-Rank Constraints for Fast Inference in Structured Models NIPS 2021
Speaker-Conversation Factorial Designs for Diarization Error Analysis INTERSPEECH 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation IJCNLP 2021
Action Shuffle Alternating Learning for Unsupervised Action Segmentation CVPR 2021
Transformer-Based Direct Hidden Markov Model for Machine Translation ACL 2021
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories MLHC 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
Hierarchical learning of Hidden Markov Models with clustering regularization UAI 2021
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning NIPS 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition IJCNLP 2021
Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020
Generalised Bayesian Filtering via Sequential Monte Carlo NIPS 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations ICML 2020
Named Entity Recognition without Labelled Data: A Weak Supervision Approach ACL 2020
Scaling Hidden Markov Language Models EMNLP 2020
Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020
Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020