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Prominence Detection in Swedish Using Syllable Correlates
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0003-1399-6604
2010 (English)In: Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Japan, 2010, 1784-1787 p.Conference paper (Refereed)
Abstract [en]

This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word level perceptual prominence and its acoustic correlates, context, and data scarcity. 200 sentences are annotated by 4 speech experts with prominence on 3 levels. A linear model for feature extraction is proposed on a syllable level features, and weights of these features are optimized to match word level annotations. We show that using syllable level features and estimating weights for the acoustic correlates to minimize the word level estimation error gives better detection accuracy compared to word level features, and that both features exceed the baseline accuracy.

Place, publisher, year, edition, pages
Makuhari, Japan, 2010. 1784-1787 p.
Keyword [en]
Accent, Focus, Prominence, Syllable emphasis
National Category
Computer Science Language Technology (Computational Linguistics)
URN: urn:nbn:se:kth:diva-52160ISI: 000313086500058ScopusID: 2-s2.0-79959856954ISBN: 978-1-61782-123-3OAI: diva2:465455
11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Chiba, Japan, September 26-30, 2010

tmh_import_11_12_14. QC 20111220

Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2014-01-09Bibliographically approved
In thesis
1. Bringing the avatar to life: Studies and developments in facial communication for virtual agents and robots
Open this publication in new window or tab >>Bringing the avatar to life: Studies and developments in facial communication for virtual agents and robots
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The work presented in this thesis comes in pursuit of the ultimate goal of building spoken and embodied human-like interfaces that are able to interact with humans under human terms. Such interfaces need to employ the subtle, rich and multidimensional signals of communicative and social value that complement the stream of words – signals humans typically use when interacting with each other.

The studies presented in the thesis concern facial signals used in spoken communication, and can be divided into two connected groups. The first is targeted towards exploring and verifying models of facial signals that come in synchrony with speech and its intonation. We refer to this as visual-prosody, and as part of visual-prosody, we take prominence as a case study. We show that the use of prosodically relevant gestures in animated faces results in a more expressive and human-like behaviour. We also show that animated faces supported with these gestures result in more intelligible speech which in turn can be used to aid communication, for example in noisy environments.

The other group of studies targets facial signals that complement speech. As spoken language is a relatively poor system for the communication of spatial information; since such information is visual in nature. Hence, the use of visual movements of spatial value, such as gaze and head movements, is important for an efficient interaction. The use of such signals is especially important when the interaction between the human and the embodied agent is situated – that is when they share the same physical space, and while this space is taken into account in the interaction.

We study the perception, the modelling, and the interaction effects of gaze and head pose in regulating situated and multiparty spoken dialogues in two conditions. The first is the typical case where the animated face is displayed on flat surfaces, and the second where they are displayed on a physical three-dimensional model of a face. The results from the studies show that projecting the animated face onto a face-shaped mask results in an accurate perception of the direction of gaze that is generated by the avatar, and hence can allow for the use of these movements in multiparty spoken dialogue.

Driven by these findings, the Furhat back-projected robot head is developed. Furhat employs state-of-the-art facial animation that is projected on a 3D printout of that face, and a neck to allow for head movements. Although the mask in Furhat is static, the fact that the animated face matches the design of the mask results in a physical face that is perceived to “move”.

We present studies that show how this technique renders a more intelligible, human-like and expressive face. We further present experiments in which Furhat is used as a tool to investigate properties of facial signals in situated interaction.

Furhat is built to study, implement, and verify models of situated and multiparty, multimodal Human-Machine spoken dialogue, a study that requires that the face is physically situated in the interaction environment rather than in a two-dimensional screen. It also has received much interest from several communities, and been showcased at several venues, including a robot exhibition at the London Science Museum. We present an evaluation study of Furhat at the exhibition where it interacted with several thousand persons in a multiparty conversation. The analysis of the data from the setup further shows that Furhat can accurately regulate multiparty interaction using gaze and head movements.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2012. xxvi, 96 p.
Trita-CSC-A, ISSN 1653-5723 ; 2012:15
Avatar, Speech Communication, Facial animation, Nonverbal, Social, Robot, Human-like, Face-to-face, Prosody, Pitch, Prominence, Furhat, Gaze, Head-pose, Dialogue, Interaction, Multimodal, Multiparty
National Category
Human Computer Interaction
Research subject
urn:nbn:se:kth:diva-105605 (URN)978-91-7501-551-4 (ISBN)
Public defence
2012-12-07, F3, Lindstedtsvägen 26, KTH, Stockholm, 13:30 (English)

QC 20121123

Available from: 2012-11-23 Created: 2012-11-22 Last updated: 2012-12-10Bibliographically approved

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