Behavioural and electrophysiological correlates of sensory attenuation in the somatosensory and auditory modality within a virtual reality setup. [PDF]
Sci RepGiannini G +3 more
europepmc +1 more source
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Advanced Intelligent Systems, EarlyView.Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
Early Speech Development in Romanian Children with Cochlear Implants Assessed Using the LittlEARS<sup>®</sup> Early Speech Production Questionnaire (LEESPQ). [PDF]
Audiol ResIvanov AC +8 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Integrated auditory-vocal embodied training for expressive authentic intonation in Chinese zither performance. [PDF]
Front NeurosciJiang H, Lu H.
europepmc +1 more source
Dissociation between caloric test and the video head impulse test in individuals with auditory neuropathy spectrum disorders [PDF]
Sujeet Kumar Sinha +2 more
openalex +1 more source
Author response: Learning-related population dynamics in the auditory thalamus
, 2020 Ariel Gilad, Ido Maor, Adi Mizrahi
openalex +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
Advanced Intelligent Systems, EarlyView.This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Development of a non-human primate model for preclinical research of a novel auditory nerve implant. [PDF]
Front NeurosciSondh I +6 more
europepmc +1 more source