M. Slaney and G. Roberts, "Baby ears: a recognition system for affective vocalizations," in Proc. of Int'l Conf. on Acoustics, Speech and Signal Processing (ICASSP), Seattle, WA, 1998.  Home/Search Document Details and Download
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Application-Centered Haptic Interface Design - MacLean (2000) (1 citation) (Correct)
.... fields: choreographers have developed elegant descriptive systems to help classify, create and teach their varieties of physical gesture [4] Voice and image processing will feed the computational aspects of this problem, including recent work in audition to extract affect from spoken language [12]. Tagged Objects A new means of applying physical handles to the electronic world is the tagged object , an inert physical object that is electronically marked [1] The physical and electronic environment responds to these objects in ways that seem magical by the old fashioned metric of ....
M. Slaney and G. Roberts, "Baby ears: a recognition system for affective vocalizations," in Proc. of Int'l Conf. on Acoustics, Speech and Signal Processing (ICASSP), Seattle, WA, 1998.
Challenges in Building Robots That Imitate People - Breazeal, Scassellati (2001) (5 citations) (Correct)
....intent to infants through prosodic patterns of speech (including pitch, tempo, and tone of voice) These prosodic patterns may be universal, as infants have demonstrated the ability to recognize praise, prohibition and attentional bids even in unfamiliar languages. Similar to the work of Slaney (1998), we have used a multidimensional Gaussian mixture model and simple acoustic measures such as pitch, energy, and cepstral coefficients to discriminate between these states on a database of infant directed utterances. Ongoing work focuses on developing a real time version of this system and ....
M. Slaney & G. McRoberts. Baby ears: a recognition system for affective vocalizations. In Proceedings of the 1998 International Conference on Acoustics, Speech, and Signal Processing (ICASSP-98). Seattle, WA, pages 1215, 1998.
Automatic Facial Expression Interpretation: Where.. - Lisetti, Schiano (2000) (3 citations) (Correct)
....AFFECT RECOGNITION AFFECT PREDICTION Figure 3: Affect, AI, and HCI and Davis 1994) Terzopoulos and Waters 1993) and (Kearney and McKenzie 1993) Yacoob, Lam and Davis 1995) Yacoob and Davis 1996) Padgett and Cottrell 1997, 1998) 2. Auditory) vocal emotion (Murray and Arnott 1993) (Slaney and McRoberts 1998); prosody analysis (Gardner and Essa 1997) 3. Kinesthetic) advanced bio feedback via wearable computers capable of categorizing low level signals such as electromyogram, galvanic skind response, and blood pressure (Picard 1997) 4. Linguistic) spoken or written natural language (O Rorke and ....
Slaney, M. and McRoberts, G. 1998. "Baby ears: A recognition system for affective vocalizations". In Proceedings of 1998 International Conference on Acoustics, Speech, and Signal Processing. Los Alamitos, CA: IEEE Computer Society Press, 985-988.
Classification of Affect in Spoken Utterances - Sawhney (1999) (Correct)
....speaker were different, however average F0 and ratio of first 2 harmonics served as better features. They suggest that higher accuracy requires analysis of verbal content and sentence level prosodic cues such as the F0 contour (they did not utilize a robust pitch tracker) Recent work at Interval [Slaney98] focused on recognizing 3 classes (approval attentional bids prohibition) of affective state in 30 50 utterances each from 12 different speakers. They analyzed speech using 3 classes of features: pitch (variance, slope, range, mean) formant transitions (using MFCCs) and energy variations. A ....
....this project, I considered appropriate features, pre processing and alternative learning techniques to aid classification of such affective auditory data. Acquiring Data After correspondence with Malcolm Slaney in Nov. 99, we obtained access to the infantdirected utterances used in their study [Slaney98]. The babyears dataset consists of recordings from 12 speakers (6 mothers and 6 fathers) talking to infants in a quiet room. As the parents were asked to play and interact with their infants naturally, verbal interaction yielded exaggerated utterances grouped into 3 classes: Approval, Attention, ....
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Slaney, Malcolm and Gerald McRoberts. "Baby Ears: A Recognition System for Affective Vocalizations", ICASSP '98. http://www.interval.com/papers/1997-063/
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