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What’s the Trouble: Automatically Identifying Problematic Dialogues in DARPA Communicator Dialogue Systems
Spoken dialogue systems promise effi- cient and natural access to information services from any phone. Recently, spo- ken dialogue systems for widely used ap- plications such as email, travel informa- …...
Efficient Confirmation Strategy for Large-scale Text Retrieval Systems with Spoken Dialogue Interface
Adequate confirmation for keywords is in- dispensable in spoken dialogue systems to eliminate misunderstandings caused by speech recognition errors. Spoken lan- guage also inherently includes out-of- domain phrases and redundant …...
Dual-Type Automatic Speech Recogniser Designs for Spoken Dialogue Systems
A Dual-Type automatic speech recogniser (ASR) is a multi-pass ASR system that incorporates both a speaker-independent (SI) and a speaker-dependent (SD) ASR. The purpose of this approach is to improve …...
Dependencies between Student State and Speech Recognition Problems in Spoken Tutoring Dialogues
Speech recognition problems are a reality in current spoken dialogue systems. In order to better understand these phenom- ena, we study dependencies between speech recognition problems and several higher level …...
Information Presentation in Spoken Dialogue Systems
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Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems
We present and evaluate a new model for Natural Language Generation (NLG) in Spoken Dialogue Systems, based on statis- tical planning, given noisy feedback from the current generation context (e.g. …...
Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
In this paper we present an opinion summari- zation technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its appli- cation …...
Optimising Information Presentation for Spoken Dialogue Systems
We present a novel approach to Informa- tion Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statis- tical optimisation framework for content planning and attribute selection. First we …...
WITcHCRafT: A Workbench for Intelligent exploraTion of Human ComputeR conversaTions
AbstractWe present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witchcraft is two fold: …...
A Scalable Architecture For Web Deployment of Spoken Dialogue Systems
AbstractWe describe a scalable architecture, particularly well-suited to cloud-based computing, which can be used for Web-deployment of spoken dialogue systems. In common with similar platforms, like WAMI and the Nuance …...
On Quality Ratings for Spoken Dialogue Systems – Experts vs. Users
In the field of Intelligent User Interfaces, Spo- ken Dialogue Systems (SDSs) play a key role as speech represents a true intuitive means of human communication. Deriving informa- tion about …...
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license
AbstractWe present a dataset of telephone conversations in English and Czech, developed for training acoustic models for automatic speech recognition (ASR) in spoken dialogue systems (SDSs). The data comprise 45 …...
Human pause and resume behaviours for unobtrusive humanlike in-car spoken dialogue systems
This paper presents a first, largely qualitative analysis of a set of human-human dialogues recorded specifically to provide insights in how humans handle pauses and resumptions in situations where the …...
tucSage: Grammar Rule Induction for Spoken Dialogue Systems via Probabilistic Candidate Selection
We describe the grammar induction sys- tem for Spoken Dialogue Systems (SDS) submitted to SemEval’14: Task 2. A sta- tistical model is trained with a rich fea- ture set and …...
A Model of Zero-Shot Learning of Spoken Language Understanding
When building spoken dialogue systems for a new domain, a major bottleneck is developing a spoken language understand- ing (SLU) module that handles the new domain’s terminology and semantic con- …...
Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?
AbstractEmotion Recognition (ER) is an important part of dialogue analysis which can be used in order to improve the quality of Spoken Dialogue Systems (SDSs). The emotional hypothesis of the …...
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The SpeDial datasets: datasets for Spoken Dialogue Systems analytics
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Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems
AbstractDomain Adaptation arises when we aim at learning from source domain a model that can perform acceptably well on a different target domain. It is especially crucial for Natural Language …...
Expert Evaluation of a Spoken Dialogue System in a Clinical Operating Room
With the emergence of new technologies, the surgical working environment becomes increasingly complex and comprises many medical devices which have to be monitored and controlled. With the aim of improving …...
Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling
AbstractThis paper is an initial study on multi-task and multi-lingual joint learning for lexical utterance classification. A major problem in constructing lexical utterance classification modules for spoken dialogue systems is …...
Code-switched inspired losses for spoken dialog representations
AbstractSpoken dialogue systems need to be able to handle both multiple languages and multilinguality inside a conversation (e.g in case of code-switching). In this work, we introduce new pretraining losses …...
End-to-end ASR to jointly predict transcriptions and linguistic annotations
AbstractWe propose a Transformer-based sequence-to-sequence model for automatic speech recognition (ASR) capable of simultaneously transcribing and annotating audio with linguistic information such as phonemic transcripts or part-of-speech (POS) tags. Since …...
Data Augmentation with Paraphrase Generation and Entity Extraction for Multimodal Dialogue System
AbstractContextually aware intelligent agents are often required to understand the users and their surroundings in real-time. Our goal is to build Artificial Intelligence (AI) systems that can assist children in …...
Towards Speech-only Opinion-level Sentiment Analysis
AbstractThe growing popularity of various forms of Spoken Dialogue Systems (SDS) raises the demand for their capability of implicitly assessing the speaker’s sentiment from speech only. Mapping the latter on …...