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A review of physical and perceptual feature extraction techniques for speech, music and environmental sounds
Endowing machines with sensing capabilities similar to those of humans is a prevalent
quest in engineering and computer science. In the pursuit of making computers sense their …
quest in engineering and computer science. In the pursuit of making computers sense their …
The evaluation of automobile interior acceleration sound fused with physiological signal using a hybrid deep neural network
L **e, C Lu, Z Liu, W Chen, Y Zhu, T Xu - Mechanical Systems and Signal …, 2023 - Elsevier
The evaluation of automobile sound quality is not only related to the inherent properties of
the sound, but also to the psychological and physiological state of the evaluator, which …
the sound, but also to the psychological and physiological state of the evaluator, which …
A step towards identifying the sound preferences of children with autism
Music-based therapies are increasingly being used to support children with autism with
promising clinical results. However, we have a little understanding of which are the most …
promising clinical results. However, we have a little understanding of which are the most …
Investigating the Influence of Scene Video on EEG-Based Evaluation of Interior Sound in Passenger Cars
L **e, Z Liu, Y Sun, Y Zhu - Cognitive Computation, 2024 - Springer
The evaluation of automobile sound quality is an important research topic in the interior
sound design of passenger car, and the accurate and effective evaluation methods are …
sound design of passenger car, and the accurate and effective evaluation methods are …
EEG response to game-craving according to personal preference for games
Abstract Recently, the World Health Organization included 'gaming disorder'in its latest
revision of the international classification of diseases (ICD-11). Despite extensive research …
revision of the international classification of diseases (ICD-11). Despite extensive research …
Supervised fractional-order embedding multiview canonical correlation analysis via ordinal label dequantization for image interest estimation
Supervised fractional-order embedding multiview canonical correlation analysis via ordinal
label dequantization (SFEMCCA-OLD) for image interest estimation is presented in this …
label dequantization (SFEMCCA-OLD) for image interest estimation is presented in this …
Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA
This paper presents a novel method of favorite music classification using EEG-based
optimal audio features. To select audio features related to user's music preference, our …
optimal audio features. To select audio features related to user's music preference, our …
MvLFDA-based video preference estimation using complementary properties of features
A Toyoda, T Ogawa… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This paper presents a new method to estimate users' video preferences using
complementary properties of features via Multiview Local Fisher Discriminant Analysis …
complementary properties of features via Multiview Local Fisher Discriminant Analysis …
Favorite video estimation based on multiview feature integration via KMvLFDA
This paper presents a novel method for favorite video estimation based on multiview feature
integration via kernel multiview local fisher discriminant analysis (KMvLFDA). The proposed …
integration via kernel multiview local fisher discriminant analysis (KMvLFDA). The proposed …
Windowed electroencephalographic signal classifier based on continuous neural networks with delays in the input
This study reports the design and implementation of a pattern recognition algorithm aimed to
classify electroencephalographic (EEG) signals based on a class of dynamic neural …
classify electroencephalographic (EEG) signals based on a class of dynamic neural …