Results 121 to 130 of about 598 (156)

A maturational frequency discrimination deficit may explain developmental language disorder. [PDF]

Psychol Rev
Jones SD, Stewart HJ, Westermann G.
europepmc   +1 more source

Neural responses to natural and model-matched stimuli reveal distinct computations in primary and nonprimary auditory cortex. [PDF]

PLoS Biol, 2018
Norman-Haignere SV, McDermott JH.
europepmc   +1 more source

Rapid modulation in music supports attention in listeners with attentional difficulties. [PDF]

Commun Biol
Woods KJP, Sampaio G, James T, Przysinda E, Cordovez B, Hewett A, Spencer AE, Morillon B, Loui P.   +8 more
europepmc   +1 more source

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Cochleagram image feature for improved robustness in sound recognition

2015 IEEE International Conference on Digital Signal Processing (DSP), 2015
In this paper, we use the cochleagram image of sound signals for time-frequency analysis and feature extraction, instead of the conventional spectrogram image, in an audio surveillance application. The signal is firstly passed through a gammatone filter which models the auditory filters in the human cochlea.
Roneel V Sharan, Tom J Moir
exaly   +2 more sources

Integrating Binary Mask Estimation With MRF Priors of Cochleagram for Speech Separation

IEEE Signal Processing Letters, 2012
In present binary masking based speech separation systems, it is almost impossible to obtain the ideal binary mask (IBM). The error in IBM estimation usually results in energy absence in many speech-dominated time-frequency (T-F) units. It violates smooth evolution nature of the speech signal and creates great artefacts.
Shan Liang, Wenju Liu
exaly   +2 more sources

Acoustic event recognition using cochleagram image and convolutional neural networks

Applied Acoustics, 2019
Convolutional neural networks (CNN) have produced encouraging results in image classification tasks and have been increasingly adopted in audio classification applications. However, in using CNN for acoustic event recognition, the first hurdle is finding the best image representation of an audio signal. In this work, we evaluate the performance of four
Roneel V Sharan, Tom J Moir
exaly   +5 more sources

IRM estimation based on data field of cochleagram for speech enhancement

Speech Communication, 2018
Abstract When computational auditory scene analysis (CASA) is used for the speech enhancement, it can mask noise effectively by an accurate mask estimation approach. In this paper, we attempt to apply the ideal ratio mask (IRM) estimation based on the spectral dependency into the speech cochleagram for enhancing speech.
Xianyun Wang, Chang-Chun Bao
exaly   +2 more sources

Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech

Neural Networks, 2021
Continuous dimensional emotion recognition from speech helps robots or virtual agents capture the temporal dynamics of a speaker's emotional state in natural human-robot interactions. Temporal modulation cues obtained directly from the time-domain model of auditory perception can better reflect temporal dynamics than the acoustic features usually ...
Zhichao Peng, Jianwu Dang, Masashi Unoki   +2 more
exaly   +3 more sources

Supervised model for Cochleagram feature based fundamental heart sound identification

Biomedical Signal Processing and Control, 2019
Abstract The efficiency of automated heart sound analysis mostly depends on accurate detection of acoustic events. In this study, an acoustic feature based heart sound segmentation algorithm has been proposed for automatic identification of the fundamental heart sounds (FHS).
Saurabh Pal, Madhuchhanda Mitra
exaly   +2 more sources