248 citations · 631 across the 27 of their papers we have counts for
28 papers
Alternating Approach-Putt Models for Multi-Stage Speech Enhancement
Iksoon Jeong, Kyung-Joong Kim, Kang-Hun Ahn
Speech enhancement using artificial neural networks aims to remove noise from noisy speech signals while preserving the speech content. However, speech enhancement networks often i…
Full simulation on the dynamics of auditory synaptic fusion: Strong clustering of calcium channel might be the origin of the coherent release in the auditory hair cells
Jaeyun Yoo, Kang-Hun Ahn
The precise timing of synaptic transmission in auditory hair cells is important to hearing and speech recognition. Neurotransmitter release is an underlying step in translating sou…
Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
Woo Seok Lee, Hyunjae Kim, Andrew N. Cleland +1
In the human ear, the basilar membrane plays a central role in sound recognition. When excited by sound, this membrane responds with a frequency-dependent displacement pattern that…
Language and Noise Transfer in Speech Enhancement Generative Adversarial Network
Santiago Pascual, Maruchan Park, Joan Serrà +2
Speech enhancement deep learning systems usually require large amounts of training data to operate in broad conditions or real applications. This makes the adaptability of those sy…
Amplitude death of coupled hair bundles with stochastic channel noise
Kyung-Joong Kim, Kang-Hun Ahn
Hair cells conduct auditory transduction in vertebrates. In lower vertebrates such as frogs and turtles, due to the active mechanism in hair cells, hair bundles(stereocilia) can be…
Enhanced signal-to-noise ratios in frog hearing can be achieved through amplitude death
Kang-Hun Ahn
In the ear, hair cells transform mechanical stimuli into neuronal signals with great sensitivity relying on certain active processes. Individual hair cell bundles of non-mammals su…