Khiet P. Truong

Also published as: Khiet Truong


Inhalation Noises as Endings of Laughs in Conversational Speech
Jürgen Trouvain | Raphael Werner | Khiet Truong
Proceedings of the Workshop on Smiling and Laughter across Contexts and the Life-span within the 13th Language Resources and Evaluation Conference

In this study we investigate the role of inhalation noises at the end of laughter events in two conversational corpora that provide relevant annotations. A re-annotation of the categories for laughter, silence and inbreath noises enabled us to see that inhalation noises terminate laughter events in the majority of all inspected laughs with a duration comparable to inbreath noises initiating speech phases. This type of corpus analysis helps to understand the mechanisms of audible respiratory activities in speaking vs. laughing in conversations.


Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions
Michel-Pierre Jansen | Khiet P. Truong | Dirk K.J. Heylen | Deniece S. Nazareth
Proceedings of the Twelfth Language Resources and Evaluation Conference

Although laughter has gained considerable interest from a diversity of research areas, there still is a need for laughter specific databases. We present the Multimodal Laughter during Interaction (MULAI) database to study the expressive patterns of conversational and humour related laughter. The MULAI database contains 2 hours and 14 minutes of recorded and annotated dyadic human-human interactions and includes 601 laughs, 168 speech-laughs and 538 on- or offset respirations. This database is unique in several ways; 1) it focuses on different types of social laughter including conversational- and humour related laughter, 2) it contains annotations from participants, who understand the social context, on how humourous they perceived themselves and their interlocutor during each task, and 3) it contains data rarely captured by other laughter databases including participant personality profiles and physiological responses. We use the MULAI database to explore the link between acoustic laughter properties and annotated humour ratings over two settings. The results reveal that the duration, pitch and intensity of laughs from participants do not correlate with their own perception of how humourous they are, however the acoustics of laughter do correlate with how humourous they are being perceived by their conversational partner.


Applying prosodic speech features in mental health care: An exploratory study in a life-review intervention for depression
Sanne M.A. Lamers | Khiet P. Truong | Bas Steunenberg | Franciska de Jong | Gerben J. Westerhof
Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality


Multimodal Subjectivity Analysis of Multiparty Conversation
Stephan Raaijmakers | Khiet Truong | Theresa Wilson
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing