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Aharon Satt
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2020 – today
- 2023
- [c5]Edmilson da Silva Morais, Matheus Damasceno, Hagai Aronowitz, Aharon Satt, Ron Hoory:
Modeling Turn-Taking in Human-To-Human Spoken Dialogue Datasets Using Self-Supervised Features. ICASSP 2023: 1-5 - 2022
- [c4]Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury:
A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets. ICASSP 2022: 7632-7636 - [i1]Zvi Kons, Aharon Satt, Hong-Kwang Kuo, Samuel Thomas, Boaz Carmeli, Ron Hoory, Brian Kingsbury:
A new data augmentation method for intent classification enhancement and its application on spoken conversation datasets. CoRR abs/2202.10137 (2022)
2010 – 2019
- 2017
- [c3]Aharon Satt, Shai Rozenberg, Ron Hoory:
Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms. INTERSPEECH 2017: 1089-1093 - 2014
- [j2]Evaldas Vaiciukynas, Antanas Verikas, Adas Gelzinis, Marija Bacauskiene, Zvi Kons, Aharon Satt, Ron Hoory:
Fusion of voice signal information for detection of mild laryngeal pathology. Appl. Soft Comput. 18: 91-103 (2014) - [c2]Aharon Satt, Ron Hoory, Alexandra König, Pauline Aalten, Philippe H. Robert:
Speech-based automatic and robust detection of very early dementia. INTERSPEECH 2014: 2538-2542 - 2013
- [j1]Bhaveer Bhana, Stephen Flowerday, Aharon Satt:
Using Participatory Crowdsourcing in South Africa to Create a Safer Living Environment. Int. J. Distributed Sens. Networks 9 (2013) - [c1]Aharon Satt, Alexander Sorin, Orith Toledo-Ronen, Oren Barkan, Ioannis Kompatsiaris, Athina Kokonozi, Magda Tsolaki:
Evaluation of speech-based protocol for detection of early-stage dementia. INTERSPEECH 2013: 1692-1696
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