DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01486-8
Abstract: Speech emotion recognition (SER) systems are often evaluated in a speaker-independent manner. However, the variation in the acoustic features of different speakers used during training and evaluation results in a significant drop in the accuracy… read more here.
Keywords: emotion recognition; speaker; epoch based; recognition ... See more keywords
Higher order information set based features for text-independent speaker identification
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-017-9472-7
Abstract: In this paper Type-2 Information Set (T2IS) features and Hanman Transform (HT) features as Higher Order Information Set (HOIS) based features are proposed for the text independent speaker recognition. The speech signals of different speakers… read more here.
Keywords: order information; information; information set; higher order ... See more keywords
Evaluation of Data Mining Strategies for Classification of Black Tea Based on Image-Based Features
Sign Up to like & getrecommendations! Published in 2017 at "Food Analytical Methods"
DOI: 10.1007/s12161-017-1075-z
Abstract: In this study, a new procedure based on computer vision was developed for qualitative classification of black tea. Images of 240 samples from four different classes of black tea, including Orange Pekoe (OP), Flowery Orange… read more here.
Keywords: image based; classification black; based features; tea ... See more keywords
Combining Deep Learning With Physics Based Features in Explosion‐Earthquake Discrimination
Sign Up to like & getrecommendations! Published in 2022 at "Geophysical Research Letters"
DOI: 10.1029/2022gl098645
Abstract: This paper combines the power of deep‐learning with the generalizability of physics‐based features, to present an advanced method for seismic discrimination between earthquakes and explosions. The proposed method contains two branches: a deep learning branch… read more here.
Keywords: physics; discrimination; deep learning; based features ... See more keywords
Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2021.1944860
Abstract: Abstract The primary objective of this study was to develop a trajectory-level weather detection system capable of providing real-time weather information at the road surface level using only a single video camera. Two texture-based features,… read more here.
Keywords: machine; histogram oriented; detection; model ... See more keywords
Learning from the ligand: using ligand-based features to improve binding affinity prediction
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btz665
Abstract: MOTIVATION Machine learning scoring functions for protein-ligand binding affinity prediction have been found to consistently outperform classical scoring functions. Structure-based scoring functions for universal affinity prediction typically use features describing interactions derived from the protein-ligand… read more here.
Keywords: ligand based; scoring functions; based features; ligand ... See more keywords
Separability of Histogram Based Features for Optical Performance Monitoring: An Investigation Using t-SNE Technique
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2913687
Abstract: In this paper, we study the separability of the commonly used features to monitor the performance of optical signal in coherent optical systems. Specifically, our study focuses on the histogram-based features; the asynchronous amplitude histogram… read more here.
Keywords: using sne; performance; separability; based features ... See more keywords
Improved Classification Scheme Using Fused Wavelet Packet Transform Based Features for Intelligent Myoelectric Prostheses
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2946536
Abstract: Electromyography (EMG) signal is gaining popularity to developn intelligent bionics and prosthetic devices using machine learning techniques. Feature extraction is essential step for the EMG pattern recognition based application. In this article, a fused wavelet… read more here.
Keywords: fused wavelet; transform based; classification; based features ... See more keywords
Estimation of emotional arousal from speech with phase-based features
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5036131
Abstract: The most commonly adopted approaches in speech emotion recognition (SER) utilize magnitude spectrum and nonlinear Teager energy operator (TEO) based features while information about phase spectrum is often omitted. The information about phase has been… read more here.
Keywords: phase; speech; phase based; emotional arousal ... See more keywords
Content-based features predict social media influence operations
Sign Up to like & getrecommendations! Published in 2020 at "Science Advances"
DOI: 10.1126/sciadv.abb5824
Abstract: Coordinated political influence operations leave a distinct signature in content that machine learning can detect. We study how easy it is to distinguish influence operations from organic social media activity by assessing the performance of… read more here.
Keywords: social media; content based; based features; influence operations ... See more keywords
Transfer deep convolutional activation-based features for domain adaptation in sensor networks
Sign Up to like & getrecommendations! Published in 2018 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-018-1059-8
Abstract: In this paper, we propose a novel method named transfer deep convolutional activation-based features (TDCAF) for domain adaptation in sensor networks. Specifically, we first train a siamese network with weight sharing to map the images… read more here.
Keywords: convolutional activation; deep convolutional; transfer deep; based features ... See more keywords