Results 1 to 10 of about 168 (103)
Multi-Level Attention-Based Categorical Emotion Recognition Using Modulation-Filtered Cochleagram
Applied Sciences, 2023 Speech emotion recognition is a critical component for achieving natural human–robot interaction. The modulation-filtered cochleagram is a feature based on auditory modulation perception, which contains multi-dimensional spectral–temporal modulation ...
Zhichao Peng +4 more
doaj +4 more sources
Electronics (Switzerland), 2023 Dimensional emotion can better describe rich and fine-grained emotional states than categorical emotion. In the realm of human–robot interaction, the ability to continuously recognize dimensional emotions from speech empowers robots to capture the temporal dynamics of a speaker’s emotional state and adjust their interaction strategies in real-time.
Zhichao Peng, Yongwei Li, Jianwu Dang
exaly +2 more sources
Distinct higher-order representations of natural sounds in human and ferret auditory cortex. [PDF]
Elife, 2021 Little is known about how neural representations of natural sounds differ across species. For example, speech and music play a unique role in human hearing, yet it is unclear how auditory representations of speech and music differ between humans and ...
Landemard A +5 more
europepmc +4 more sources
Preliminary evidence for selective cortical responses to music in one‐month‐old infants
Developmental Science, Volume 26, Issue 5, September 2023., 2023 Abstract Prior studies have observed selective neural responses in the adult human auditory cortex to music and speech that cannot be explained by the differing lower‐level acoustic properties of these stimuli. Does infant cortex exhibit similarly selective responses to music and speech shortly after birth?
Heather L. Kosakowski +5 more
wiley +1 more source
Neuromorphic Liquids, Colloids, and Gels: A Review
ChemPhysChem, Volume 24, Issue 1, January 3, 2023., 2023 A comparative analysis of the properties and materials of liquid, colloidal, and gel neuromorphic systems is presented. Various liquid‐based synaptic devices, as well as their neuromorphic applications, are also reviewed. Abstract Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of ...
Noushin Raeisi Kheirabadi +3 more
wiley +1 more source
European Journal of Neuroscience, Volume 56, Issue 3, Page 4154-4175, August 2022., 2022 Multivariate pattern analysis (MVPA) and hierarchical recurrent neural network (RNN) modelling were used to examine the neurophysiology of auditory novelty responses in cortical evoked potentials recorded from anaesthetised mice. Asymmetry between rising and falling sound intensity transitions, in contrast with ascending and descending tone frequency ...
Jamie A. O'Reilly +2 more
wiley +1 more source
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 Speech enhancement has gained considerable attention in the employment of speech transmission via the communication channel, speaker identification, speech‐based biometric systems, video conference, hearing aids, mobile phones, voice conversion, microphones, and so on.
Mourad Talbi +2 more
wiley +1 more source
Advanced Functional Materials, Volume 34, Issue 15, April 10, 2024.Polymer‐based organic electronics, featuring neuromorphic behavior and low voltage operation, provide energy‐efficient in‐memory computing as an alternative to conventional artificial intelligence. They support decentralized on‐chip learning and hold promise for closed‐loop intelligent systems.
Imke Krauhausen +4 more
wiley +1 more source
Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model. [PDF]
Commun Biol, 2023 Parida S, Liu ST, Sadagopan S.
europepmc +1 more source
Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions. [PDF]
PLoS Biol, 2023 Tuckute G +3 more
europepmc +1 more source