Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load

Autor: Elbanna, Gasser, Biryukov, Alice, Scheidwasser-Clow, Neil, Orlandic, Lara, Mainar, Pablo, Kegler, Mikolaj, Beckmann, Pierre, Cernak, Milos

As a neurophysiological response to threat or adverse conditions, stress can affect cognition, emotion and behaviour with potentially detrimental effects on health in the case of sustained exposure. Since the affective content of speech is inherently

Externí odkaz: http://arxiv.org/abs/2203.16637

Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection

Autor: Martinelli, Flavio, Dellaferrera, Giorgia, Mainar, Pablo, Cernak, Milos

Publikováno v: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 8544-8548

Recent advances in Voice Activity Detection (VAD) are driven by artificial and Recurrent Neural Networks (RNNs), however, using a VAD system in battery-operated devices requires further power efficiency. This can be achieved by neuromorphic hardware,

Externí odkaz: http://arxiv.org/abs/1910.09993

Mental Flow Estimation Through Wearable EEG.

Autor: Cherep M, Kegler M, Thiran JP, Mainar P

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2022 Jul; Vol. 2022, pp. 4672-4678.