Topic change detection based on prosodic cues in unimodal setting

Baiat, G. Esfandiari; Szekrényes, István

doi:10.1109/coginfocom.2012.6422037

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Additionally, our results showed that in almost all cases new topic initiations coincided with a speaker change. Although many studies [4], [21], have focused on gaze behavior as a cue only to turn organization, based on the present study we could extend its function by defining that gaze behavior can also be used to detect topic boundaries in conversations.…”

Section: Discussionmentioning

confidence: 98%

“…In our previous paper [21], we investigated various kinds of prosodic features related to topic shift, describing their differences near the topic boundaries and inside the topic blocks. Due to the lack of the annotation of speaker change that data evaluation had difficulties, because those seemingly significant, descriptive statistical results could only compare the average measurements taken from the whole topic block with the data from topic boundaries.…”

Section: Prosody and Topic Shiftmentioning

confidence: 99%

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Multimodal Analysis of Topic Shift in Persian Dyadic Conversations

Esfandiari-Baiat

Szekrényes²

2015

JAL

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Conversations play an important role in our daily life. During conversations, we usually talk from topic to topic automatically, smoothly and effortlessly. However, there are sometimes difficulties experienced in establishing and also acknowledging a new topic in an ongoing conversation. This fact shows that there are specific features and mechanisms to both producing and perceiving topic change, which play a prominent role in keeping continuous talk. The present study provides a multimodal analysis of the occurrence of topic shift in dyadic conversations which were recorded both for audio and video. The research was carried out on two stages, studying both visual and prosodic features of topic shift. On the first stage, the actual speakers gaze movements around topic shift were investigated while on the second stage, prosodic features such as pitch movement and intensity surrounding topic shift were measured. We wanted to know whether any of these features and their combination could be used as a cue to detect topic shift in a conversation. Focusing on detection and analysis of these features could be helpful for a better understanding of human-human as well as human-machine communication.

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Section: Discussionmentioning

confidence: 98%

Section: Prosody and Topic Shiftmentioning

confidence: 99%