The Centre for Speech Technology Research, The university of Edinburgh

Publications by Steve Isard


  author = {Dzikovska, Myroslava and Isard, Amy and Bell, Peter and Moore, Johanna and Steinhauser, Natalie and Campbell, Gwendolyn},
  publisher = {Association for Computational Linguistics},
  title = {{Beetle II}: an adaptable tutorial dialogue system},
  url = {},
  booktitle = {Proceedings of the SIGDIAL 2011 Conference, demo session},
  year = {2011},
  abstract = {We present Beetle II, a tutorial dialogue system which accepts unrestricted language input and supports experimentation with different tutorial planning and dialogue strategies. Our first system evaluation compared two tutorial policies and demonstrated that the system can be used to study the impact of different approaches to tutoring. The system is also designed to allow experimentation with a variety of natural language techniques, and discourse and dialogue strategies.},
  month = {June},
  address = {Portland, Oregon},
  pages = {338--340}
  author = {Fitt, Sue and Isard, Steve},
  ps = {},
  title = {Synthesis of regional {E}nglish using a keyword lexicon},
  booktitle = {Proc. Eurospeech 1999},
  year = {1999},
  abstract = {We discuss the use of an accent-independent keyword lexicon to synthesise speakers with different regional accents. The paper describes the system architecture and the transcription system used in the lexicon, and then focuses on the construction of word-lists for recording speakers. We illustrate by mentioning some of the features of Scottish and Irish English, which we are currently synthesising, and describe how these are captured by keyword synthesis.},
  month = {September},
  volume = {2},
  address = {Budapest},
  pdf = {},
  pages = {823-826},
  categories = {speech synthesis, lexicon, accents, regional pronunciation}
  author = {Dzikovska, Myroslava and Isard, Amy and Bell, Peter and Moore, Johanna D. and Steinhauser, Natalie B. and Campbell, Gwendolyn E. and Taylor, Leanne S. and Caine, Simon and Scott, Charlie},
  publisher = {Springer},
  doi = {10.1007/978-3-642-21869-9_122},
  title = {Adaptive Intelligent Tutorial Dialogue in the {Beetle II} System},
  series = {Lecture Notes in Computer Science},
  booktitle = {Artificial Intelligence in Education - 15th International Conference (AIED 2011), interactive event},
  year = {2011},
  volume = {6738},
  address = {Auckland, New Zealand},
  pages = {621}
  author = {Taylor, Paul A. and King, S. and Isard, S. D. and Wright, H.},
  ps = {},
  title = {Intonation and Dialogue Context as Constraints for Speech Recognition},
  journal = {Language and Speech},
  number = {3},
  volume = {41},
  year = {1998},
  pdf = {},
  pages = {493-512},
  categories = {asr, intonation, dialogue, lm, id4s}
  author = {Wright, H. and Poesio, Massimo and Isard, Stephen},
  ps = {},
  title = {Using high level dialogue information for dialogue act recognition using prosodic features},
  booktitle = {Proceedings of an {ESCA} Tutorial and Research Workshop on Dialogue and Prosody},
  year = {1999},
  address = {Eindhoven, The Netherlands},
  pdf = {},
  pages = {139-143},
  categories = {dialogue, prosody, asr}
  author = {Taylor, Paul A. and Shimodaira, Hiroshi and Isard, Stephen and King, Simon and Kowtko, Jacqueline},
  ps = {},
  title = {Using Prosodic Information to Constrain Language Models for Spoken dialogue},
  booktitle = {Proc. {ICSLP} `96},
  year = {1996},
  address = {Philadelphia},
  pdf = {},
  abstract = {We present work intended to improve speech recognition performance for computer dialogue by taking into account the way that dialogue context and intonational tune interact to limit the possibilities for what an utterance might be. We report here on the extra constraint achieved in a bigram language model expressed in terms of entropy by using separate submodels for different sorts of dialogue acts and trying to predict which submodel to apply by analysis of the intonation of the sentence being recognised.},
  categories = {asr, intonation, dialogue, lm,id4s}
  author = {Wright-Hastie, Helen and Poesio, Massimo and Isard, Stephen},
  title = {Automatically predicting dialogue structure using prosodic features},
  journal = {Speech Communication},
  number = {1-2},
  volume = {36},
  year = {2002},
  pages = {63-79},
  categories = {dialogue, prosody, recognition}
  author = {Bell, Peter and Dzikovska, Myroslava and Isard, Amy},
  title = {Designing a spoken language interface for a tutorial dialogue system},
  booktitle = {Proc. Interspeech},
  year = {2012},
  month = {September},
  address = {Portland, Oregon, USA},
  pdf = {},
  abstract = {We describe our work in building a spoken language interface for a tutorial dialogue system. Our goal is to allow natural, unrestricted student interaction with the computer tutor, which has been shown to improve the student's learning gain, but presents challenges for speech recognition and spoken language understanding. We discuss the choice of system components and present the results of development experiments in both acoustic and language modelling for speech recognition in this domain.}
  author = {Taylor, Paul A. and Isard, S. D.},
  ps = {},
  title = {A New Model of Intonation for Use with Speech Recognition and Synthesis},
  booktitle = {International Conference on Spoken Language Processing},
  year = {1992},
  address = {Banff, Canada},
  pdf = {},
  categories = {synthesis, intonation}
  author = {Taylor, Paul A. and King, Simon and Isard, Stephen and Wright, Helen and Kowtko, Jacqueline},
  title = {Using Intonation to Constrain Language Models in Speech Recognition},
  booktitle = {Proc. {E}urospeech'97},
  year = {1997},
  address = {Rhodes},
  pdf = {},
  abstract = {This paper describes a method for using intonation to reduce word error rate in a speech recognition system designed to recognise spontaneous dialogue speech. We use a form of dialogue analysis based on the theory of conversational games. Different move types under this analysis conform to different language models. Different move types are also characterised by different intonational tunes. Our overall recognition strategy is first to predict from intonation the type of game move that a test utterance represents, and then to use a bigram language model for that type of move during recognition. point in a game.},
  categories = {asr, intonation, dialogue, lm,id4s}
  author = {Fitt, Sue and Isard, Steve},
  ps = {},
  title = {Representing the environments for phonological processes in an accent-independent lexicon for synthesis of {E}nglish},
  booktitle = {Proc. ICSLP 1998},
  year = {1998},
  abstract = {This paper reports on work developing an accent-independent lexicon for use in synthesising speech in English. Lexica which use phonemic transcriptions are only suitable for one accent, and developing a lexicon for a new accent is a long and laborious process. Potential solutions to this problem include the use of conversion rules to generate lexica of regional pronunciations from standard accents and encoding of regional variation by means of keywords. The latter proposal forms the basis of the current work. However, even if we use a keyword system for lexical transcription there are a number of remaining theoretical and methodological problems if we are to synthesise and recognise accents to a high degree of accuracy; these problems are discussed in the following paper.},
  month = {December},
  volume = {3},
  address = {Sydney, Australia},
  pdf = {},
  pages = {847-850},
  categories = {speech synthesis, lexicon, accents, regional pronunciation, phonology}