1.
Bratan, Costin Andrei; Gheorghe, Mirela; Ispas, Ioan; Franti, Eduard; Dascalu, Monica; Stoicescu, Silvia Maria; Rosca, Ioana; Gherghiceanu, Florentina; Dumitrache, Doina; Nastase, Leonard
Dunstan Baby Language Classification with CNN Proceedings Article
In: 2021 INTERNATIONAL CONFERENCE ON SPEECH TECHNOLOGY AND HUMAN-COMPUTER DIALOGUE (SPED), pp. 167-171, IEEE; Univ Politehnica Bucuresti; ETTI; AMPUS; IASI, Inst Comp Sci; Acad Romana; EURASIP IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2021, ISBN: 978-1-6654-2786-9, (11th International Conference on Speech Technology and Human-Computer Dialogue (SpeD), Bucharest, ROMANIA, OCT 13-15, 2021).
Abstract | Links | BibTeX | Tags: Dunstan baby language; convolutional neural network; infant cry classification
@inproceedings{WOS:000786794700030,
title = {Dunstan Baby Language Classification with CNN},
author = {Costin Andrei Bratan and Mirela Gheorghe and Ioan Ispas and Eduard Franti and Monica Dascalu and Silvia Maria Stoicescu and Ioana Rosca and Florentina Gherghiceanu and Doina Dumitrache and Leonard Nastase},
doi = {10.1109/SpeD53181.2021.9587374},
isbn = {978-1-6654-2786-9},
year = {2021},
date = {2021-01-01},
booktitle = {2021 INTERNATIONAL CONFERENCE ON SPEECH TECHNOLOGY AND HUMAN-COMPUTER
DIALOGUE (SPED)},
pages = {167-171},
publisher = {IEEE},
address = {345 E 47TH ST, NEW YORK, NY 10017 USA},
organization = {IEEE; Univ Politehnica Bucuresti; ETTI; AMPUS; IASI, Inst Comp Sci; Acad
Romana; EURASIP},
abstract = {Several methods were reported in the scientific literature for the
classification of the infant cries, in order to automatically detect the
need behind their tears and help the parents and caretakers. In the same
scope, this paper has an original approach in which the sounds that
precede the cry are used. Such sounds can be considered primitive words
and are classified according to the ``Dunstan Baby Language''. The
paper verifies the universal baby language hypothesis starting from the
research reported in a previous article. A CNN architecture trained with
recordings of babies from Australia was used for classifying the audio
material coming from Romanian babies. It was an attempt to see what
happens should the participants belong to a different cultural
landscape. The database loaded with the sounds made by Romanian babies
was labelled by doctors in the maternity hospitals and two Dunstan
experts, separately. Finally, the results of the CNN automatic
classification were compared to those obtained by the Dunstan coaches.
The conclusions have proved that Dunstan language is universal.},
note = {11th International Conference on Speech Technology and Human-Computer
Dialogue (SpeD), Bucharest, ROMANIA, OCT 13-15, 2021},
keywords = {Dunstan baby language; convolutional neural network; infant cry classification},
pubstate = {published},
tppubtype = {inproceedings}
}
Several methods were reported in the scientific literature for the
classification of the infant cries, in order to automatically detect the
need behind their tears and help the parents and caretakers. In the same
scope, this paper has an original approach in which the sounds that
precede the cry are used. Such sounds can be considered primitive words
and are classified according to the ``Dunstan Baby Language''. The
paper verifies the universal baby language hypothesis starting from the
research reported in a previous article. A CNN architecture trained with
recordings of babies from Australia was used for classifying the audio
material coming from Romanian babies. It was an attempt to see what
happens should the participants belong to a different cultural
landscape. The database loaded with the sounds made by Romanian babies
was labelled by doctors in the maternity hospitals and two Dunstan
experts, separately. Finally, the results of the CNN automatic
classification were compared to those obtained by the Dunstan coaches.
The conclusions have proved that Dunstan language is universal.
classification of the infant cries, in order to automatically detect the
need behind their tears and help the parents and caretakers. In the same
scope, this paper has an original approach in which the sounds that
precede the cry are used. Such sounds can be considered primitive words
and are classified according to the ``Dunstan Baby Language''. The
paper verifies the universal baby language hypothesis starting from the
research reported in a previous article. A CNN architecture trained with
recordings of babies from Australia was used for classifying the audio
material coming from Romanian babies. It was an attempt to see what
happens should the participants belong to a different cultural
landscape. The database loaded with the sounds made by Romanian babies
was labelled by doctors in the maternity hospitals and two Dunstan
experts, separately. Finally, the results of the CNN automatic
classification were compared to those obtained by the Dunstan coaches.
The conclusions have proved that Dunstan language is universal.