Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Youngdo Ahn"'
Publikováno v:
Sensors, Vol 24, Iss 13, p 4111 (2024)
Emotions in speech are expressed in various ways, and the speech emotion recognition (SER) model may perform poorly on unseen corpora that contain different emotional factors from those expressed in training databases. To construct an SER model robus
Externí odkaz:
https://doaj.org/article/4cc557d44751419dbb7b8052af61ca36
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0fed4b1cfaccf33e6d68c412a840b35
https://doi.org/10.1109/icassp49357.2023.10096839
https://doi.org/10.1109/icassp49357.2023.10096839
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e6e747bf0fc57df098f353825d8eace
https://doi.org/10.21437/interspeech.2022-111
https://doi.org/10.21437/interspeech.2022-111
Publikováno v:
IEEE Signal Processing Letters. 28:1190-1194
Within a single speech emotion corpus, deep neural networks have shown decent performance in speech emotion recognition. However, the performance of the emotion recognition based on data-driven learning methods degrades significantly for the cross-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3ecffe29bc4c6ab87ca3ce28d8b0bbc
https://doi.org/10.1109/lsp.2021.3086395
https://doi.org/10.1109/lsp.2021.3086395