Spoken Language Models and Dialog 1
HomeFull List of Titles
1: ICSLP'98 Proceedings
Keynote SpeechesText-To-Speech Synthesis 1Spoken Language Models and Dialog 1Prosody and Emotion 1Hidden Markov Model Techniques 1Speaker and Language Recognition 1Multimodal Spoken Language Processing 1Isolated Word RecognitionRobust Speech Processing in Adverse Environments 1Spoken Language Models and Dialog 2Articulatory Modelling 1Talking to Infants, Pets and LoversRobust Speech Processing in Adverse Environments 2Spoken Language Models and Dialog 3Speech Coding 1Articulatory Modelling 2Prosody and Emotion 2Neural Networks, Fuzzy and Evolutionary Methods 1Utterance Verification and Word Spotting 1 / Speaker Adaptation 1Text-To-Speech Synthesis 2Spoken Language Models and Dialog 4Human Speech Perception 1Robust Speech Processing in Adverse Environments 3Speech and Hearing Disorders 1Prosody and Emotion 3Spoken Language Understanding Systems 1Signal Processing and Speech Analysis 1Spoken Language Generation and Translation 1Spoken Language Models and Dialog 5Segmentation, Labelling and Speech Corpora 1Multimodal Spoken Language Processing 2Prosody and Emotion 4Neural Networks, Fuzzy and Evolutionary Methods 2Large Vocabulary Continuous Speech Recognition 1Speaker and Language Recognition 2Signal Processing and Speech Analysis 2Prosody and Emotion 5Robust Speech Processing in Adverse Environments 4Segmentation, Labelling and Speech Corpora 2Speech Technology Applications and Human-Machine Interface 1Large Vocabulary Continuous Speech Recognition 2Text-To-Speech Synthesis 3Language Acquisition 1Acoustic Phonetics 1Speaker Adaptation 2Speech Coding 2Hidden Markov Model Techniques 2Multilingual Perception and Recognition 1Large Vocabulary Continuous Speech Recognition 3Articulatory Modelling 3Language Acquisition 2Speaker and Language Recognition 3Text-To-Speech Synthesis 4Spoken Language Understanding Systems 4Human Speech Perception 2Large Vocabulary Continuous Speech Recognition 4Spoken Language Understanding Systems 2Signal Processing and Speech Analysis 3Human Speech Perception 3Speaker Adaptation 3Spoken Language Understanding Systems 3Multimodal Spoken Language Processing 3Acoustic Phonetics 2Large Vocabulary Continuous Speech Recognition 5Speech Coding 3Language Acquisition 3 / Multilingual Perception and Recognition 2Segmentation, Labelling and Speech Corpora 3Text-To-Speech Synthesis 5Spoken Language Generation and Translation 2Human Speech Perception 4Robust Speech Processing in Adverse Environments 5Text-To-Speech Synthesis 6Speech Technology Applications and Human-Machine Interface 2Prosody and Emotion 6Hidden Markov Model Techniques 3Speech and Hearing Disorders 2 / Speech Processing for the Speech and Hearing Impaired 1Human Speech ProductionSegmentation, Labelling and Speech Corpora 4Speaker and Language Recognition 4Speech Technology Applications and Human-Machine Interface 3Utterance Verification and Word Spotting 2Large Vocabulary Continuous Speech Recognition 6Neural Networks, Fuzzy and Evolutionary Methods 3Speech Processing for the Speech-Impaired and Hearing-Impaired 2Prosody and Emotion 72: SST Student Day
SST Student Day - Poster Session 1SST Student Day - Poster Session 2Author Index
A B C D E F G H I
J K L M N O P Q R
S T U V W X Y Z
Multimedia Files
An Educational Dialogue System with a User Controllable Dialogue Manager
Authors:
Joakim Gustafson, KTH (Sweden)
Patrik Elmberg, NLPLAB (Sweden)
Rolf Carlson, KTH (Sweden)
Arne Jönsson, NLPLAB (Sweden)
Page (NA) Paper number 504
Abstract:
We have developed an educational environment for a modular spoken dialogue system. The aim of the environment is to provide students, with different backgrounds, means to understand the behaviour of spoken dialogue systems. Focus in this paper is on dialogue and dialogue management. The dialogue is recorded in a dialogue tree whose nodes are dialogue objects. The dialogue objects model the constituents of the dialogue and consist of parameters for modelling dialogue structure, focus structure and a process description describing the actions of the dialogue system. Various dialogue system behaviours can be achieved by modifying these parameters. This is done using the educational environment, which is interactive and facilitates examination, expansion and modification of the dialogue object parameters and hence the system. The educational system has been used in a number of courses at various universities in Sweden.
SL980504.PDF (From Author)
SL980504.PDF (Rasterized)
TOP
End-User Driven Dialogue System Design: The Reward Experience
Authors:
Klaus Failenschmid, Vocalis Ltd. (U.K.)
J.H. Simon Thornton, Vocalis Ltd. (U.K.)
Page (NA) Paper number 783
Abstract:
In the EC funded research project REWARD professionals in the target domain for a dialogue system were enabled to develop their own speech driven telephone service (dialogue system). Specialists in speech recognition technology provided them with graphical tools and technical advice. Guided by their in-depth understanding of the target domain and target user the four user partners developed four different dialogue systems. The shift of focus in the dialogue system design process from technology to end user driven design 'rationale' is influenced by research into the design process of dialogue systems and provides valuable data that informs user-centred-design processes of interactive systems. In this paper we report on observations with regard to this end-user driven design process. Dialogue features, which are a direct result of this different approach to designing speech recognition applications, are presented.
SL980783.PDF (From Author)
SL980783.PDF (Rasterized)
TOP
The Design of a Multi-Domain Mandarin Chinese Spoken Dialogue System
Authors:
Yi-Chung Lin, ATC/CCL/ITRI (Taiwan)
Tung-Hui Chiang, ATC/CCL/ITRI (Taiwan)
Heui-Ming Wang, ATC/CCL/ITRI (Taiwan)
Chung-Ming Peng, ATC/CCL/ITRI (Taiwan)
Chao-Huang Chang, ATC/CCL/ITRI (Taiwan)
Page (NA) Paper number 230
Abstract:
In some dialogue systems, the design of dialogue strategy is bound tightly to the domain by straightforwardly hard-coding the response actions into the system. Such a paradigm is quite easy to build up a prototype system, but makes it difficult to port the system across different domains. This paper presents a domain-transparent design of dialogue management to increase system portability. The basic idea of this framework is to extract the domain-dependent factors to form an external domain knowledge database, leaving the dialogue management component independent of the tasks. Based on the proposed framework, porting to another domain needs only to replace the domain knowledge database without changing the dialogue management module. This paper also proposed a task description table interface enabling system developers to design the dialogue strategy flexibly. With this approach, the effort of porting a spoken dialogue system across different domains can be relieved.
SL980230.PDF (From Author)
SL980230.PDF (Rasterized)
TOP
An Integrated Dialogue System for the Automation of Call Centre Services
Authors:
Kallirroi Georgila, Wire Communications Laboratory (Greece)
Anastasios Tsopanoglou, Knowledge S. A. (Greece)
Nikos Fakotakis, Wire Communications Laboratory (Greece)
George Kokkinakis, Wire Communications Laboratory (Greece)
Page (NA) Paper number 236
Abstract:
A human-machine dialogue system for the automation of call centre services is presented, which features two novel functions: a. It integrates spoken and written language processing through cooperation of a spoken dialogue component and an OCR which extracts handwritten information from application forms. b. It reads the forms and calls the applicants (instead of being called by them) in order to collect the missing information through a continuous speech, full sentence, machine-driven dialogue which allows the user to formulate his answers at will. The system has been developed for a Greek car insurance company in the framework of the EU-project: LE-1 1802, ACCeSS, but can be easily adapted to a different call centre application. The system is currently tested at the company's premises.