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Stacked convolutional neural network for emotion recognition using multi feature speech analysis. [PDF]

Sci Rep
Roy C, Kharel W, Das P, Panigrahi R, Hareesha KS, Pramanik M, Bhoi AK.   +6 more
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A novel approach to Indian bird species identification: employing visual-acoustic fusion techniques for improved classification accuracy. [PDF]

Front Artif Intell
Gavali P, Banu JS.
europepmc   +1 more source

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Hydroacoustic Target Detection Based on Improved GFCC and Lightweight Neural Network

2023 42nd Chinese Control Conference (CCC), 2023
For the classification problem of hydroacoustic signals, a hydroacoustic target recognition method based on improved GFCC feature extraction combined with lightweight convolutional neural network is proposed, using Gammatone filter bank filtering ...
Yifan Cao, Jing Yan, Kaixuan Sun, Xiaoyuan Luo   +3 more
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Speech Emotion Recognition using MFCC, GFCC, Chromagram and RMSE features

2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021
In recent years, increasing attention is given to the research of the emotions present in speech. Various systems are developed aiming to detect the emotions in the speaker’s statements. One of the biggest differences between a machine and a human is understanding the emotions of others and behaving accordingly. Researchers are working on bridging this
Hrithik Patni, Akash Jagtap, Vaishali Bhoyar, Aditya Gupta   +3 more
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Non-linear Power Exponent Effect in GFCC for Bangla and Malay speech Separation

2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2022
The applications of automatic speech processing are increasing due to the increasing demand for human machine interaction services in our daily activities. The human-machine interactivity is hampered under noisy conditions.
Md. Atiqul Islam
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Gateway Feedback Congestion Control (GFCC) algorithm

2018 1st International Scientific Conference of Engineering Sciences - 3rd Scientific Conference of Engineering Science (ISCES), 2018
The extensive use of the Internet has been growing over time, so networks need a robust and stable algorithm that can provide high performance over various loads. Congestion in the data network occurs at a gateway when there is more incoming traffic than the outgoing data.
Rawad Luay Al-Momni, Bijan Karimi
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Speaker recognition based on MFCC and GFCC feature parameter extraction

2025 5th International Symposium on Computer Technology and Information Science (ISCTIS)
Aiming at the shortcomings of traditional single feature extraction methods in representing speech features, this paper proposes a speaker recognition method that combines Mel frequency cepstrum coefficient (MFCC) and Gammatone frequency cepstrum ...
Wanni Liu, Yonghong Duan
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GFCC-based robust gender detection

2016 International Conference on Innovations in Science, Engineering and Technology (ICISET), 2016
Gender classification technique is a part of the signal processing comprises with feature extraction and behavioural gender modelling. Fundamental frequency and pitch are mostly used as feature for gender detection due to their unique characteristics in voice source.
M. Islam
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