Machine learning for spoken dialogue management:An experiment with speech-based database querying[A].Artificial Intelligence 2006.Pietquin, O. (2006). Machine Learning for spoken dialogue management: an experiment with speech-based database querying. In Artificial Intelli- gence:Methodology,Systems& ...
Machine Learning for Spoken Dialogue Systems. European Conference on Speech Communication and Technologies (Interspeech'07), Anvers : Belgique (2007)... O Lemon,O Pietquin - 《Acm Transactions on Speech & Language Processing》 被引量: 129发表: 2007年 Segment Deletion in Spontaneous Speech: A Cor...
IoT experiences, analytics, and others. In a spoken dialog system, LU converts from the words in a sentence into a machine-readable meaning representation, typically indicating the intent of the sentence and any present entities. For example, consider a physical ï¬tness domain...
Recent dramatic advances of spoken language technologies have made use of highly sophisticated machine learning techniques such as deep learning. As spoken language technologies span very broad areas such as acoustic modeling, language modeling, dialogue management, and speech synthesis, we hope that this...
The quality of human translation was long thought to be unattainable for computer translation systems. In this study, we present a deep-learning system, CUBBITT, which challenges this view. In a context-aware blind evaluation by human judges, CUBBITT significantly outperformed professional-agency Eng...
MLN 2024 is the seventh edition of the International Conference on Machine Learning for Networking. The goal of the conference is to provide a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on all aspects of Machine Le...
Recent Advances in Machine Learning for Spoken Language Processing --- Special Section on MLSLP 2015 --- Submission deadline of the manuscript: Extended to February 5, 2016 The Institute of Electronics, Information and Communication Engineers (IEICE) Transactions on Information and Systems announces ...
Machine Learning All research Accelerating LLM Inference on NVIDIA GPUs with ReDrafter content typehighlight|Published year2024 ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition content typepaper|research areaData Science and Annotation,research areaHuman-Computer Interaction|Pub...
offeaturesdesignedforpronounresolu- tioninspokendialogueanddeterminethe mostpromisingfeatures.Weevaluatethe systemontwentySwitchboarddialogues andshowthatitcompareswelltoByron’s (2002)manuallytunedsystem. 1Introduction Corpus-basedmethodsandmachinelearningtech- ...
Data Validation for Machine Learning (Paper) Google 2019 An Approach to Data Quality for Netflix Personalization Systems Netflix 2020 Improving Accuracy By Certainty Estimation of Human Decisions, Labels, and Raters (Paper) Facebook 2020 Data Engineering Zipline: Airbnb’s Machine Learning Data Manag...