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EmoChildRu: Emotional Child Russian Speech Corpus. / Lyakso, E.; Frolova, O.; Dmitrieva, E.; Grigorev, A.; Kaya, H.; Salah, A.A.; Karpov, A.

Speech and Computer: 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings. Vol. 9319 2015. p. 144-152 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 9319).

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Harvard

Lyakso, E, Frolova, O, Dmitrieva, E, Grigorev, A, Kaya, H, Salah, AA & Karpov, A 2015, EmoChildRu: Emotional Child Russian Speech Corpus. in Speech and Computer: 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings. vol. 9319, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 9319, pp. 144-152, 17th International conference on speech and computer, Athens, Greece, 20/09/15. https://doi.org/10.1007/978-3-319-23132-7_18, https://doi.org/10.1007/978-3-319-23132-7_18

APA

Lyakso, E., Frolova, O., Dmitrieva, E., Grigorev, A., Kaya, H., Salah, A. A., & Karpov, A. (2015). EmoChildRu: Emotional Child Russian Speech Corpus. In Speech and Computer: 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings (Vol. 9319, pp. 144-152). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 9319). https://doi.org/10.1007/978-3-319-23132-7_18, https://doi.org/10.1007/978-3-319-23132-7_18

Vancouver

Lyakso E, Frolova O, Dmitrieva E, Grigorev A, Kaya H, Salah AA et al. EmoChildRu: Emotional Child Russian Speech Corpus. In Speech and Computer: 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings. Vol. 9319. 2015. p. 144-152. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)). https://doi.org/10.1007/978-3-319-23132-7_18, https://doi.org/10.1007/978-3-319-23132-7_18

Author

Lyakso, E. ; Frolova, O. ; Dmitrieva, E. ; Grigorev, A. ; Kaya, H. ; Salah, A.A. ; Karpov, A. / EmoChildRu: Emotional Child Russian Speech Corpus. Speech and Computer: 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings. Vol. 9319 2015. pp. 144-152 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

BibTeX

@inproceedings{067b6581b62a419ebebff7ee05c42d25,
title = "EmoChildRu: Emotional Child Russian Speech Corpus",
abstract = "We present the first child emotional speech corpus in Russian, called “EmoChildRu”, which contains audio materials of 3–7 year old kids. The database includes over 20K recordings (approx. 30 h), collected from 100 children. Recordings were carried out in three controlled settings by creating different emotional states for children: playing with a standard set of toys; repetition of words from a toy-parrot in a game store setting; watching a cartoon and retelling of the story, respectively. This corpus is designed to study the reflection of the emotional state in the characteristics of voice and speech and for studies of the formation of emotional states in ontogenesis. A portion of the corpus is annotated for three emotional states (discomfort, neutral, comfort). Additional data include brain activity measurements (original EEG, evoked potentials records), the results of the adult listeners analysis of child speech, questionnaires, and description of dialogues. The paper reports two child emotional speech ana",
keywords = "Emotional child speech · Perceptual analysis · Spectrographicanalysis · Emotional states · Computational paralinguistics",
author = "E. Lyakso and O. Frolova and E. Dmitrieva and A. Grigorev and H. Kaya and A.A. Salah and A. Karpov",
year = "2015",
doi = "10.1007/978-3-319-23132-7_18",
language = "English",
volume = "9319",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer",
pages = "144--152",
booktitle = "Speech and Computer",
note = "17th International conference on speech and computer, SPECOM 2015 ; Conference date: 20-09-2015 Through 24-09-2015",
url = "http://specom.nw.ru/sites/2015/index.html",

}

RIS

TY - GEN

T1 - EmoChildRu: Emotional Child Russian Speech Corpus

AU - Lyakso, E.

AU - Frolova, O.

AU - Dmitrieva, E.

AU - Grigorev, A.

AU - Kaya, H.

AU - Salah, A.A.

AU - Karpov, A.

PY - 2015

Y1 - 2015

N2 - We present the first child emotional speech corpus in Russian, called “EmoChildRu”, which contains audio materials of 3–7 year old kids. The database includes over 20K recordings (approx. 30 h), collected from 100 children. Recordings were carried out in three controlled settings by creating different emotional states for children: playing with a standard set of toys; repetition of words from a toy-parrot in a game store setting; watching a cartoon and retelling of the story, respectively. This corpus is designed to study the reflection of the emotional state in the characteristics of voice and speech and for studies of the formation of emotional states in ontogenesis. A portion of the corpus is annotated for three emotional states (discomfort, neutral, comfort). Additional data include brain activity measurements (original EEG, evoked potentials records), the results of the adult listeners analysis of child speech, questionnaires, and description of dialogues. The paper reports two child emotional speech ana

AB - We present the first child emotional speech corpus in Russian, called “EmoChildRu”, which contains audio materials of 3–7 year old kids. The database includes over 20K recordings (approx. 30 h), collected from 100 children. Recordings were carried out in three controlled settings by creating different emotional states for children: playing with a standard set of toys; repetition of words from a toy-parrot in a game store setting; watching a cartoon and retelling of the story, respectively. This corpus is designed to study the reflection of the emotional state in the characteristics of voice and speech and for studies of the formation of emotional states in ontogenesis. A portion of the corpus is annotated for three emotional states (discomfort, neutral, comfort). Additional data include brain activity measurements (original EEG, evoked potentials records), the results of the adult listeners analysis of child speech, questionnaires, and description of dialogues. The paper reports two child emotional speech ana

KW - Emotional child speech · Perceptual analysis · Spectrographicanalysis · Emotional states · Computational paralinguistics

U2 - 10.1007/978-3-319-23132-7_18

DO - 10.1007/978-3-319-23132-7_18

M3 - Conference contribution

VL - 9319

T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

SP - 144

EP - 152

BT - Speech and Computer

T2 - 17th International conference on speech and computer

Y2 - 20 September 2015 through 24 September 2015

ER -

ID: 46374059