Results 11 to 20 of about 598 (156)
Robust audio hashing scheme based on cochleagram and cross recurrence analysis
Electronics Letters, 2013 A robust hashing method based on computer‐vision techniques is proposed as an improvement to the existing computer‐vision based hashing scheme. The cochleagram of the audio is treated as an image, from which Speeded Up Robust Features are extracted as essential features. Non‐negative matrix factorisation is used to reduce the features’ dimension.
J J Lin
exaly +2 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
IEEE AccessBeing one of the main communication medium, speech contains necessary information about the emotional state of a human. Accurate emotion recognition is crucial for enhancing human-machine interactions, highlighting the importance of a strong Speech ...
Atkia Anika Namey +3 more
doaj +2 more sources
A dynamic network model of temporal receptive fields in primary auditory cortex. [PDF]
PLoS Comput Biol, 2019 Auditory neurons encode stimulus history, which is often modelled using a span of time-delays in a spectro-temporal receptive field (STRF). We propose an alternative model for the encoding of stimulus history, which we apply to extracellular recordings ...
Rahman M +3 more
europepmc +3 more sources
Productive and Non-Productive Cough Classification Using Biologically Inspired Techniques
IEEE Access, 2022 Cough is a common symptom of respiratory diseases and the type of cough, in particular, productive (wet) or non-productive (dry) cough, is an important indicator of the condition of the respiratory system.
Roneel V. Sharan
doaj +1 more source
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
Audio Classification with Skyrmion Reservoirs
Advanced Intelligent Systems, Volume 5, Issue 6, June 2023., 2023 This study reports the first demonstration of spoken digit classification using a multichannel skyrmion fabric reservoir computer. Using a nonlinear filtering technique, a model is created that is able to identify each digit independent of the speaker with an overall accuracy of 97.4% (98.5% for a female subset).
Robin Msiska +4 more
wiley +1 more source
A comparison of DFT, PLP and cochleagram for alphabet recognition [PDF]
[1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 2002 The authors used speaker-independent classification of isolated English letters to evaluate the relative performance of the discrete Fourier transform, perceptual linear predictive (PLP) analysis, and the cochleagram auditory model. Feedforward neural network classifiers were trained using all three representations on 60 speakers and tested on 60 new ...
M. Fanty, R. Cole, M. Slaney
openaire +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
Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory
Neuromorphic Computing and Engineering, 2023 Spike encoding of sound consists in converting a sound waveform into spikes. It is of interest in many domains, including the development of audio-based spiking neural network applications, where it is the first and a crucial stage of processing.
Ahmad El Ferdaoussi +2 more
doaj +1 more source