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of 3
pro vyhledávání: '"Reza Lotfidereshgi"'
Autor:
Reza Lotfidereshgi, Philippe Gournay
Publikováno v:
ICASSP
This paper proposes a novel approach for speech signal prediction based on a recurrent neural network (RNN). Unlike existing RNN-based predictors, which operate on parametric features and are trained offline on a large collection of such features, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1531a8a486dd3022eccf7e498301278e
http://arxiv.org/abs/2111.08116
http://arxiv.org/abs/2111.08116
Autor:
Reza Lotfidereshgi, Philippe Gournay
We propose an approach for cognitive coding of speech by unsupervised extraction of contextual representations in two hierarchical levels of abstraction. Speech attributes such as phoneme identity that last one hundred milliseconds or less are captur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f59fc91627fd790b42acba82a020ae
Autor:
Reza Lotfidereshgi, Philippe Gournay
Publikováno v:
ICASSP
Conventional feature-based classification methods do not apply well to automatic recognition of speech emotions, mostly because the precise set of spectral and prosodic features that is required to identify the emotional state of a speaker has not be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f82599ab4ebb130d1c0855f08f476fee
https://doi.org/10.1109/icassp.2017.7953135
https://doi.org/10.1109/icassp.2017.7953135
