Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Raymond Brueckner"'
Autor:
Björn Schuller, Elisabeth André, Raymond Brueckner, Florian Lingenfelser, Jun Deng, Johannes Wagner
Publikováno v:
IEEE Transactions on Affective Computing. 9:410-423
Throughout many present studies dealing with multi-modal fusion, decisions are synchronously forced for fixed time segments across all modalities. Varying success is reported, sometimes performance is worse than unimodal classification. Our goal is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e4d995213f82ce822b307a548d5aab
https://doi.org/10.1109/taffc.2016.2635124
https://doi.org/10.1109/taffc.2016.2635124
Publikováno v:
INTERSPEECH
Proceedings Interspeech 2017, 2371-2375
STARTPAGE=2371;ENDPAGE=2375;TITLE=Proceedings Interspeech 2017
Interspeech 2017
Proceedings Interspeech 2017, 2371-2375
STARTPAGE=2371;ENDPAGE=2375;TITLE=Proceedings Interspeech 2017
Interspeech 2017
The automatic detection and classification of social signals is an important task, given the fundamental role nonverbal behavioral cues play in human communication. We present the first cross-lingual study on the detection of laughter and fillers in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a6275b162911c5a74b9ec1aa2306162
https://doi.org/10.21437/interspeech.2017-635
https://doi.org/10.21437/interspeech.2017-635
Autor:
Bjoern Schuller, Pär Nyström, Florian B. Pokorny, Christa Einspieler, Peter B. Marschik, Nicholas Cummins, Sven Bölte, Raymond Brueckner, Terje Falck-Ytter
Publikováno v:
INTERSPEECH
Autism spectrum disorder (ASD) is a neurodevelopmental disorder usually diagnosed in or beyond toddlerhood. ASD is defined by repetitive and restricted behaviours, and deficits in social communicat ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a3ebb8f23b14e4bcfeeaf2701cf32ba
https://doi.org/10.21437/interspeech.2017-1007
https://doi.org/10.21437/interspeech.2017-1007
Autor:
George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Björn Schuller, Stefanos Zafeiriou, Erik Marchi, Mihalis A. Nicolaou
Publikováno v:
ICASSP
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
41st IEEE International Conference on Acoustics, Speech, and Signal Processing
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
41st IEEE International Conference on Acoustics, Speech, and Signal Processing
The automatic recognition of spontaneous emotions from speech is a challenging task. On the one hand, acoustic features need to be robust enough to capture the emotional content for various styles of speaking, and while on the other, machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4261d9c63bdc27f6a532ae15f717911f
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72019
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72019
Autor:
Raymond Brueckner, Björn Schuller
Publikováno v:
Conflict and Multimodal Communication ISBN: 9783319140803
Conflict is a fundamental phenomenon inevitably arising in inter-human communication and only recently has become the subject of study in the emerging field of computational paralinguistics. As speech is a predominant carrier of information about the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80ac6e68c41e1a3e41acb2a85e3c0964
https://doi.org/10.1007/978-3-319-14081-0_19
https://doi.org/10.1007/978-3-319-14081-0_19
Autor:
Raymond Brueckner, Björn Schuller
Publikováno v:
ICASSP
Non-verbal speech cues play an important role in human communication such as expressing emotional states or maintaining the conversational flow. In this paper we investigate the effect of applying deep bidirectional Long Short-Term Memory (BLSTM) rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f65d0419de040546ffb13ef643ab123
https://doi.org/10.1109/icassp.2014.6854518
https://doi.org/10.1109/icassp.2014.6854518
Autor:
Björn Schuller, Raymond Brueckner
Publikováno v:
ASRU
With the impressive advances of deep learning in recent years the interest in neural networks has resurged in the fields of automatic speech recognition and emotion recognition. In this paper we apply neural networks to address speaker-independent de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a47d17ea017ca346ef006a22ff07acf
https://opus.bibliothek.uni-augsburg.de/opus4/files/72607/72607.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/72607/72607.pdf
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540693680
PIT
PIT
In automatic speech recognition, a common method to decorrelate features and to reduce feature space dimensionality is Linear Discriminant Analysis (LDA). In this paper, the performance of LDA has been compared with other linear feature space transfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd93a2c4ce61139e0ab1302237c4bb9
https://doi.org/10.1007/978-3-540-69369-7_20
https://doi.org/10.1007/978-3-540-69369-7_20
Publikováno v:
ICASSP (1)
The recognition of continuously spoken Korean digits is well known to be a particularly challenging task among small vocabulary recognition problems. In this paper, we review and evaluate our acoustic modeling efforts for the purpose of efficient hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b35e78967d87bda36d4fa3254688d643
https://doi.org/10.1109/icassp.2006.1659948
https://doi.org/10.1109/icassp.2006.1659948