Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Sageev Oore"'
Autor:
Sri Harsha Dumpala, Katerina Dikaios, Sebastian Rodriguez, Ross Langley, Sheri Rempel, Rudolf Uher, Sageev Oore
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The sound of a person’s voice is commonly used to identify the speaker. The sound of speech is also starting to be used to detect medical conditions, such as depression. It is not known whether the manifestations of depression in speech ov
Externí odkaz:
https://doaj.org/article/ffc015bf2c1a4d158974c938a4ffac9f
Autor:
Scott C. Lowe, Louise P. McGarry, Jessica Douglas, Jason Newport, Sageev Oore, Christopher Whidden, Daniel J. Hasselman
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
Understanding the abundance and distribution of fish in tidal energy streams is important for assessing the risks presented by the introduction of tidal energy devices into the habitat. However, tidal current flows suitable for tidal energy developme
Externí odkaz:
https://doaj.org/article/181026f8022e4a3492746c3db44e998d
Autor:
Meagan Sinclair, Hamed Hanafi Alamdari, Julia Paffile, Kamal El-Sankary, Scott Lowe, Stephen Driscoll, Sageev Oore, Heather Tomson, Gregory Begin, Guillermo Aristi, Michael Schmidt, David Roach, Thomas Penzel, Ingo Fietze, Sanjay R Patel, Reena Mehra, Debra Morrison
Publikováno v:
IEEE Transactions on Biomedical Engineering. :1-12
Publikováno v:
Interspeech 2022.
Publikováno v:
Proceedings of the 8th International Conference on Movement and Computing.
Publikováno v:
Companion Publication of the 2021 International Conference on Multimodal Interaction.
Publikováno v:
SMM21, Workshop on Speech, Music and Mind 2021.
Autor:
Sri Harsha Dumpala, Sageev Oore
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
Emotion conversion in speech has attracted recent attention owing to its importance in human-machine interaction and the current high quality of speech synthesis. Most existing approaches rely on parallel data, which is not available in many real-tim
Autor:
Sri Harsha Dumpala, Rudolf Uher, Katerina Dikaios, Mehri Sajjadian, Sheri Rempel, Sageev Oore
Publikováno v:
ICASSP
Major depressive disorder, referred to as depression, is a leading cause of disability, absence from work, and premature death. Automatic assessment of depression from speech is a critical step towards improving diagnosis and treatment of depression.
Publikováno v:
Advances in Speech and Music Technology ISBN: 9789813368804
Analyzing raw speech signals is computationally expensive. Hence, a set of simplified speech representations is proposed for downstream tasks—such as emotion recognition—that do not depend on vocal timbre or textual content. These representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2941f421bc3f2b3c6778a9cb61584fde
https://doi.org/10.1007/978-981-33-6881-1_5
https://doi.org/10.1007/978-981-33-6881-1_5