S. Young

Steve J. Young, Philip C. Woodland, V. Valtchev, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, EMNLP.

State clustering in hidden Markov model-based continuous speech recognition

Steve J. Young, Philip C. Woodland, S. Young, 1994, Comput. Speech Lang..

The 1994 HTK large vocabulary speech recognition system

P.C. Woodland, C.J. Leggetter, J.J. Odell, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Large vocabulary speech recognition

Steve Young, S. Young, 1995 .

Statistical Modeling in Continuous Speech Recognition (CSR)

Steve J. Young, S. Young, 2001, UAI.

Broadcast news transcription using HTK

Mark J. F. Gales, Steve J. Young, Philip C. Woodland, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

The HTK hidden Markov model toolkit: design and philosophy

Steve Young, S. Young, 1993 .

Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System

Hui Ye, Steve J. Young, Blaise Thomson, 2007, NAACL.

Acoustic Modelling for Large Vocabulary Continuous Speech Recognition

Steve Young, S. Young, 1999 .

Counter-fitting Word Vectors to Linguistic Constraints

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2016, NAACL.

A review of large-vocabulary continuous-speech recognition

Steve Young, S. Young, 1996 .

D4.4: POMDP-based System

S. Young, Blaise Thomson, J. Schatzmann, 2006 .

D 4 . 3 : Bayes Net Prototype-the Hidden Information State Dialogue Manager

S. Young, Jason Williams, J. Schatzmann, 2006 .

Bibliography for Tutorial on Statistical Approaches to Spoken Dialogue Systems

S. Young, J. Williams, Blaise Thomson, 2009 .

Computer-assisted Pronunciation Teachingbased on Automatic Speech

Silke M. Witt, S. Young, 1997 .

Gaussian Processes for Fast Policy Optimisation of POMDP-based Dialogue Managers

Milica Gasic, Steve J. Young, Blaise Thomson, 2010, SIGDIAL Conference.

User study of the Bayesian update of dialogue state approach to dialogue management

Milica Gasic, Steve J. Young, Blaise Thomson, 2008, INTERSPEECH.

A Framework for Wizard-of-Oz Experiments with a Simulated ASR-Channel

Steve Young, Jason D. Williams, Matthew N. Stuttle, 2004 .

Continuous F0 Modeling for HMM Based Statistical

S. Young, Kai Yu, 2011 .

The theory of segmental hidden Markov models

Mark J. F. Gales, Steve Young, Mark J. F. Gales, 1993 .

HMM recognition in noise using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1993, EUROSPEECH.

Benchmark DARPA RM results using the HTK portable HMM toolkit

Steve Young, Philip C. Woodland, S. Young, 1992 .

Segmental hidden Markov models

Mark J. F. Gales, Steve J. Young, S. Young, 1993, EUROSPEECH.

The statistical approach to the design of spoken dialogue systems

Steve Young, S. Young, 2003 .

Simulation of human-machine dialogues

Steve Young, Konrad Scheffler, S. Young, 1999 .

Belief Tracking Interaction Quality Reward Estimation Semantic Decoding Speech Recognition Speech Synthesis Language Generation Environment

S. Young, Tsung-Hsien Wen, M. Gašić, 2017 .

Parallel model combination on a noise corrupted resource management task

Mark J. F. Gales, Steve J. Young, S. Young, 1994, ICSLP.

The application of parallel model combination to a large vocabulary dictation task

Mark J. F. Gales, Steve J. Young, S. Young, 1995, EUROSPEECH.

PMC for speech recognition in additive and convolutional noise

Mark J. F. Gales, Steve Young, Mark J. F. Gales, 1993 .

A trellis-based language model for speech recognition

Steve J. Young, Nick Waegner, S. Young, 1992, ICSLP.

Time-frequency spectral analysis of speech

Steve J. Young, David Rainton, S. Young, 1990, ICSLP.

Large vocabulary multilingual speech recognition using HTK

Steve J. Young, Philip C. Woodland, David Pye, 1995, EUROSPEECH.

Hidden Markov model state-based cepstral noise compensation

Steve J. Young, V. Beattie, S. Young, 1992, ICSLP.

Recognition ********* a dynamic network decoder design for large vocabulary speech recognition

Steve J. Young, Philip C. Woodland, V. Valtchev, 1994, ICSLP.

Open-vocabulary speech indexing for voice and video mail retrieval

Karen Spärck Jones, Gareth J. F. Jones, K. Sparck Jones, 1997, MULTIMEDIA '96.

The Persuaders: Inside the Hidden Machine of Political Advertising

Steve J. Young, S. Young, 2004 .

Adapting a HMM-based recogniser for noisy speech enhanced by spectral subtraction

Juan Arturo Nolazco-Flores, Steve J. Young, S. Young, 1993, EUROSPEECH.

A self-learning speech synthesis system

Steve Young, C. S. Blackburn, S. Young, 1996 .

ACOUSTIC INDEXING VIA PHONE LATTICES

Karen Spärck Jones, S. Young, J. Foote, 2022 .

Speech recognition evaluation: a review of the ARPA CSR programme

Steve Young, S. Young, 1997 .

Data-driven emotion conversion in spoken English

Steve J. Young, Zeynep Inanoglu, S. Young, 2009, Speech Commun..

The SACTI-1 corpus: guide for research users

Jason D. Williams, Steve Young, S. Young, 2005 .

HMM-based architecture for face identification

Steve J. Young, Ferdinando Samaria, S. Young, 1994, Image Vis. Comput..

Trajectory training considering global variance for HMM-based speech synthesis

Tomoki Toda, Steve J. Young, S. Young, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Statistical Modeling in Continuous Speech Recognition (CSR)(Invited Talk) pdf

Steve J. Young, S. Young, 2013, ArXiv.

Steve Young, S. Young, 2008 .

Spoken language understanding using the Hidden Vector State Model

Steve J. Young, Yulan He, S. Young, 2006, Speech Commun..

Class-based language model adaptation using mixtures of word-class weights

Steve J. Young, Gareth Moore, S. Young, 2000, INTERSPEECH.

Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning

Milica Gasic, Steve J. Young, Blaise Thomson, 2010, ACL.

POMDP-Based Statistical Spoken Dialog Systems: A Review

Milica Gasic, Steve J. Young, Jason D. Williams, 2013, Proceedings of the IEEE.

Cepstral parameter compensation for HMM recognition in noise

Mark J. F. Gales, Steve J. Young, S. Young, 1993, Speech Commun..

Modelling asynchrony in automatic speech recognition using loosely coupled hidden Markov models

Harriet J. Nock, Steve J. Young, S. Young, 2002, Cogn. Sci..

Enhanced speech recognition using an articulatory production model trained on X-ray data

Steve J. Young, C. Simon Blackburn, S. Young, 2001, Comput. Speech Lang..

The use of syntax and multiple alternatives in the VODIS voice operated database inquiry system

Steve Young, N. H. Russell, J.H.S. Thornton, 1991 .

Robust speech recognition in additive and convolutional noise using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1995, Comput. Speech Lang..

Neural Belief Tracker: Data-Driven Dialogue State Tracking

Tsung-Hsien Wen, Nikola Mrksic, Steve J. Young, 2016, ACL.

Continuous speech recognition in noise using spectral subtraction and HMM adaptation

Juan Arturo Nolazco-Flores, Steve J. Young, S. Young, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A self-learning predictive model of articulator movements during speech production.

C S Blackburn, S Young, S. Young, 2000, The Journal of the Acoustical Society of America.

Robust continuous speech recognition using parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1996, IEEE Trans. Speech Audio Process..

SYNTHESIS BY RULE OF PROSODIC FEATURES IN WORD CONCATENATION SYNTHESIS

Steve Young, F. Fallside, F. Fallside, 1980 .

USING POMDPS FOR DIALOG MANAGEMENT

Steve J. Young, S. Young, 2006, 2006 IEEE Spoken Language Technology Workshop.

Gaussian Processes for POMDP-Based Dialogue Manager Optimization

Milica Gasic, Steve J. Young, S. Young, 2014, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Optimisation for POMDP-Based Spoken Dialogue Systems

Steve Young, Filip Jurčíček, Milica Gasic, 2012 .

Uncertainty Management for On-Line Optimisation of a POMDP-Based Large-Scale Spoken Dialogue System

Matthieu Geist, Olivier Pietquin, Lucie Daubigney, 2011, INTERSPEECH.

Policy optimisation of POMDP-based dialogue systems without state space compression

Matthew Henderson, Milica Gasic, Steve J. Young, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Natural actor and belief critic: Reinforcement algorithm for learning parameters of dialogue systems modelled as POMDPs

Steve J. Young, Blaise Thomson, Filip Jurcícek, 2011, TSLP.

Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems

Steve J. Young, Blaise Thomson, S. Young, 2010, Comput. Speech Lang..

Cognitive User Interfaces

Steve J. Young, S. Young, 2010, IEEE Signal Processing Magazine.

The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management

Milica Gasic, Steve J. Young, Blaise Thomson, 2010, Comput. Speech Lang..

Still talking to machines (cognitively speaking)

Steve J. Young, S. Young, 2010, INTERSPEECH.

THE ESSENTIAL BENEFITS OF THE POMDP APPROACH CAN BE RETAINED BY THE USE OF SENSIBLE APPROXIMATIONS

S. Young, 2010 .

Back-off action selection in summary space-based POMDP dialogue systems

Fabrice Lefèvre, Milica Gasic, Steve J. Young, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Training and Evaluation of the HIS POMDP Dialogue System in Noise

Milica Gasic, Steve J. Young, Blaise Thomson, 2008, SIGDIAL Workshop.

Training a real-world POMDP-based Dialog System

Hui Ye, Blaise Thomson, Jost Schatzmann, 2007, HLT-NAACL 2007.

The Hidden Information State Approach to Dialog Management

Hui Ye, Steve J. Young, Jost Schatzmann, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Scaling POMDPs for dialog management with composite summary point-based value iteration (CSPBVI)

Steve Young, Jason D. Williams, S. Young, 2006 .

Partially Observable Markov Decision Processes with Continuous Observations for Dialogue Management

Pascal Poupart, Steve Young, Jason D. Williams, 2008, SIGDIAL.

Factored partially observable Markov decision processes for dialogue management

Pascal Poupart, Steve Young, Jason D. Williams, 2005 .

Talking to machines (statistically speaking)

Steve J. Young, S. Young, 2002, INTERSPEECH.

Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Anna Korhonen, Nikola Mrksic, Milica Gasic, 2017, TACL.

Corpus-based methods in language and speech processing

Steve Young, Gerrit Bloothooft, S. Young, 1997 .

Discriminative spoken language understanding using word confusion networks

Matthew Henderson, Milica Gasic, Steve J. Young, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Latent Intention Dialogue Models

Tsung-Hsien Wen, Phil Blunsom, Steve J. Young, 2017, ICML.

Dialogue manager domain adaptation using Gaussian process reinforcement learning

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, Comput. Speech Lang..

The design and implementation of dialogue control in voice operated database inquiry systems

Steve Young, C. E. Proctor, S. Young, 1989 .

Techniques for automatically transcribing unknown keywords for open keyword set HMM-based word-spotting

Kate Knill, Steve Young, S. Young, 1995 .

Speaker dependent keyword spotting for accessing stored speech

Kate Knill, Steve Young, S. Young, 1994 .

Error simulation for training statistical dialogue systems

Steve J. Young, Blaise Thomson, Jost Schatzmann, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Spoken document retrieval - a multimedia tool

K. Sparck Jones, Steve Young, Gareth Jones, 1995 .

Open-vocabulary speech indexing for voice and video mail retrieval

Karen Spärck Jones, Gareth J. F. Jones, Steve J. Young, 1997, MULTIMEDIA '96.

Automatic content-based retrieval of broadcast news

Karen Spärck Jones, Gareth J. F. Jones, Steve J. Young, 1995, MULTIMEDIA '95.

Switched Atm Network Disc Speaker Camera Microphone Workstation Workstation Open-vocabulary Speech Indexing for Voice and Video Mail Retrieval Abstract Keywords: Introduction Figure 1. Connection of Medusa Network Endpoints to an Atm Network

Karen Spärck Jones, S. Young, J. Foote, 2022 .

Acoustic indexing for multimedia retrieval and browsing

Karen Spärck Jones, Gareth J. F. Jones, Steve J. Young, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Retrieving spoken documents by combining multiple index sources

Karen Spärck Jones, Gareth J. F. Jones, Steve J. Young, 1996, SIGIR '96.

Real User Evaluation of Spoken Dialogue Systems Using Amazon Mechanical Turk

Milica Gasic, Steve J. Young, Blaise Thomson, 2011, INTERSPEECH.

Designing a conversational speech interface

Steve Young, S. Young, 1986 .

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems pdf

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2016, NAACL.

Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking pdf

David Vandyke, Dongho Kim, Tsung-Hsien Wen, 2015, SIGDIAL Conference.

Stochastic Language Generation in Dialogue using Factored Language Models

Steve J. Young, François Mairesse, S. Young, 2014, Computational Linguistics.

Multi-domain Dialog State Tracking using Recurrent Neural Networks

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, ACL.

PyDial: A Multi-domain Statistical Dialogue System Toolkit

David Vandyke, Stefan Ultes, Iñigo Casanueva, 2017, ACL.

Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management

Stefan Ultes, Pawel Budzianowski, Pei-hao Su, 2017, SIGDIAL Conference.

A Network-based End-to-End Trainable Task-oriented Dialogue System

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, EACL.

Quality-enhanced voice morphing using maximum likelihood transformations

Hui Ye, Steve J. Young, S. Young, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Conditional Generation and Snapshot Learning in Neural Dialogue Systems

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, EMNLP.

A system for transforming the emotion in speech: combining data-driven conversion techniques for prosody and voice quality

Steve J. Young, Zeynep Inanoglu, S. Young, 2007, INTERSPEECH.

Voice conversion for unknown speakers

Hui Ye, Steve J. Young, S. Young, 2004, INTERSPEECH.

The Hidden Agenda User Simulation Model

Steve J. Young, Jost Schatzmann, S. Young, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Continuous F0 Modeling for HMM Based Statistical Parametric Speech Synthesis

Kai Yu, Steve J. Young, S. Young, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies

Steve J. Young, Jost Schatzmann, Matthew N. Stuttle, 2006, The Knowledge Engineering Review.

Reward estimation for dialogue policy optimisation

Pei-hao Su, Milica Gasic, Steve J. Young, 2018, Comput. Speech Lang..

An inference approach to grammar construction

Steve J. Young, H.-H. Shih, Nick Waegner, 1995, Comput. Speech Lang..

A framework for dialogue data collection with a simulated ASR channel

Steve J. Young, Jason D. Williams, Matthew N. Stuttle, 2004, INTERSPEECH.

Token passing: a simple conceptual model for connected speech recognition systems

Steve Young, N. H. Russell, Jhs Thornton, 1989 .

Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems pdf

David Vandyke, Dongho Kim, Tsung-Hsien Wen, 2015, INTERSPEECH.

Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis

Heiga Zen, Kai Yu, Steve J. Young, 2011, Speech Commun..

A comparison of exact and approximate algorithms for decoding and training loosely coupled HMMs

Harriet J. Nock, Steve Young, S. Young, 2001 .

COMPETITIVE TRAINING - A CONNECTIONIST APPROACH TO THE DISCRIMINATIVE TRAINING OF HIDDEN MARKOV-MODELS

Steve Young, S. Young, 1991 .

Phone-level pronunciation scoring and assessment for interactive language learning

Steve J. Young, Silke M. Witt, S. Young, 2000, Speech Commun..

Probabilistic methods in spoken–dialogue systems

S. Young, 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

Natural belief-critic: a reinforcement algorithm for parameter estimation in statistical spoken dialogue systems

Milica Gasic, Steve J. Young, Blaise Thomson, 2010, INTERSPEECH.

Towards improved speech recognition using a speech production model

Steve J. Young, C. Simon Blackburn, S. Young, 1995, EUROSPEECH.

The HTK tied-state continuous speech recogniser

Steve J. Young, Philip C. Woodland, S. Young, 1993, EUROSPEECH.

Tree-Based State Tying for High Accuracy Modelling

Steve J. Young, Philip C. Woodland, J. J. Odell, 1994, HLT.

Incremental on-line adaptation of POMDP-based dialogue managers to extended domains

Dongho Kim, Matthew Henderson, Milica Gasic, 2014, INTERSPEECH.

Computer-assisted pronunciation teaching based on automatic speech recognition

Steve Young, Silke M. Witt, S. Young, 1997 .

Semantic processing using the Hidden Vector State model

Steve J. Young, Yulan He, S. Young, 2005, Comput. Speech Lang..

State-based Gaussian selection in large vocabulary continuous speech recognition using HMMs

Mark J. F. Gales, Kate Knill, Steve J. Young, 1999, IEEE Trans. Speech Audio Process..

Word-Based Dialog State Tracking with Recurrent Neural Networks

Matthew Henderson, Steve J. Young, Blaise Thomson, 2014, SIGDIAL Conference.

Spoken language understanding from unaligned data using discriminative classification models

Milica Gasic, Steve J. Young, Blaise Thomson, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Statistical User Simulation with a Hidden Agenda

Steve Young, Blaise Thomson, Jost Schatzmann, 2007, SIGDIAL.

Research data supporting "Conditional Generation and Snapshot Learning in Neural Dialogue Systems"

S. Young, Tsung-Hsien Wen, N. Mrksic, 2016 .

Multi-domain dialogue success classifiers for policy training

David Vandyke, Tsung-Hsien Wen, Nikola Mrksic, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English

Mark J. F. Gales, Kate Knill, Rogier C. van Dalen, 2016, SIGDIAL Conference.

A fast and flexible implementation of parallel model combination

Mark J. F. Gales, Steve J. Young, S. Young, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Recurrent neural network language generation for spoken dialogue systems

Steve Young, Tsung-Hsien Wen, S. Young, 2020, Comput. Speech Lang..

N-best error simulation for training spoken dialogue systems

Matthew Henderson, Milica Gasic, Steve J. Young, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Tree-based state clustering for large vocabulary speech recognition

Steve Young, Philip C. Woodland, Jj Odell, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management pdf

Stefan Ultes, Iñigo Casanueva, Pawel Budzianowski, 2017, ArXiv.

On-line policy optimisation of spoken dialogue systems via live interaction with human subjects

Milica Gasic, Steve J. Young, Blaise Thomson, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Distributed dialogue policies for multi-domain statistical dialogue management

Dongho Kim, Milica Gasic, Steve J. Young, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Using Wizard-of-Oz simulations to bootstrap Reinforcement - Learning based dialog management systems

Steve J. Young, Jason D. Williams, S. Young, 2003, SIGDIAL Workshop.

Continuously Learning Neural Dialogue Management pdf

David Vandyke, Stefan Ultes, Tsung-Hsien Wen, 2016, ArXiv.

Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding

Stefan Ultes, Tsung-Hsien Wen, Nikola Mrksic, 2016, COLING.