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Abstract: We collected more than 500 utterances from adults talking to their infants. We automatically classified 65% of the strongest utterances correctly as approval, attentional bids, or prohibition. We used several pitch and formant measures, and a multidimensional Gaussian mixture-model discriminator to perform this task. As previous studies have shown, changes in pitch are an important cue for affective messages (Update)
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BibTeX entry: (Update)
Slaney, Malcolm and Gerald McRoberts. "Baby Ears: A Recognition System for Affective Vocalizations", ICASSP '98. http://www.interval.com/papers/1997-063/ http://citeseer.ist.psu.edu/slaney98baby.html More
@inproceedings{ slaney1998babyears,
author = "Malcolm Slaney and Gerald McRoberts",
title = "Baby Ears: a recognition system for affective vocalizations",
inbook = "Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)",
year = "1998",
pages = "985-988",
volume = "2",
url = "citeseer.ist.psu.edu/slaney98baby.html" }
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