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» Why Is the Recognition of Spontaneous Speech so Hard
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ICASSP
2011
IEEE
12 years 9 months ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...
MLMI
2007
Springer
13 years 11 months ago
Term-Weighting for Summarization of Multi-party Spoken Dialogues
This paper explores the issue of term-weighting in the genre of spontaneous, multi-party spoken dialogues, with the intent of using such term-weights in the creation of extractive ...
Gabriel Murray, Steve Renals
ICMI
2009
Springer
171views Biometrics» more  ICMI 2009»
13 years 11 months ago
Static vs. dynamic modeling of human nonverbal behavior from multiple cues and modalities
Human nonverbal behavior recognition from multiple cues and modalities has attracted a lot of interest in recent years. Despite the interest, many research questions, including th...
Stavros Petridis, Hatice Gunes, Sebastian Kaltwang...
PAMI
2008
160views more  PAMI 2008»
13 years 5 months ago
Emotion Recognition Based on Physiological Changes in Music Listening
Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper inve...
Jonghwa Kim, Elisabeth André
CSL
2011
Springer
13 years 6 days ago
Detecting emotional state of a child in a conversational computer game
The automatic recognition of user’s communicative style within a spoken dialog system framework, including the affective aspects, has received increased attention in the past f...
Serdar Yildirim, Shrikanth Narayanan, Alexandros P...