相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Turker Tuncer et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Improved speech emotion recognition with Mel frequency magnitude coefficient
J. Ancilin et al.
APPLIED ACOUSTICS (2021)
Spatiotemporal and frequential cascaded attention networks for speech emotion recognition
Shuzhen Li et al.
NEUROCOMPUTING (2021)
Wavelet packet analysis for speaker-independent emotion recognition
Kunxia Wang et al.
NEUROCOMPUTING (2020)
Speech emotion recognition with deep convolutional neural networks
Dias Issa et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Human emotion recognition by optimally fusing facial expression and speech feature
Xusheng Wang et al.
SIGNAL PROCESSING-IMAGE COMMUNICATION (2020)
Unsupervised and supervised VAD systems using combination of time and frequency domain features
Yunus Korkmaz et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian elliptical basis function network classifier
Fatemeh Daneshfar et al.
APPLIED ACOUSTICS (2020)
Efficient approach for EEG-based emotion recognition
D. Senguer et al.
ELECTRONICS LETTERS (2020)
Speech emotion recognition using fusion of three multi-task learning-based classifiers: HSF-DNN, MS-CNN and LLD-RNN
Zengwei Yao et al.
SPEECH COMMUNICATION (2020)
Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features
Lamiaa Abdel-Hamid
SPEECH COMMUNICATION (2020)
A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
Gintautas Tamulevicius et al.
ELECTRONICS (2020)
Classification of Lung Sounds With CNN Model Using Parallel Pooling Structure
Fatih Demir et al.
IEEE ACCESS (2020)
Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM
Mustaqeem et al.
IEEE ACCESS (2020)
Speaker Awareness for Speech Emotion Recognition
Gustavo Assuncao et al.
INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING (2020)
Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends
Zhichao Peng et al.
IEEE ACCESS (2020)
Audio-Visual Emotion Recognition in Video Clips
Fatemeh Noroozi et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2019)
Audiovisual emotion recognition in wild
Egils Avots et al.
MACHINE VISION AND APPLICATIONS (2019)
A novel feature selection method for speech emotion recognition
Turgut Ozseven
APPLIED ACOUSTICS (2019)
Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method
Sachin Taran et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2019)
3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms
Noushin Hajarolasvadi et al.
ENTROPY (2019)
Surface EMG signals and deep transfer learning-based physical action classification
Fatih Demir et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Automatic speech emotion recognition using an optimal combination of features based on EMD-TKEO
Leila Kerkeni et al.
SPEECH COMMUNICATION (2019)
Speech emotion recognition based on DNN-decision tree SVM model
Linhui Sun et al.
SPEECH COMMUNICATION (2019)
Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
Shiqing Zhang et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2018)
Speech emotion recognition based on feature selection and extreme learning machine decision tree
Zhen-Tao Liu et al.
NEUROCOMPUTING (2018)
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
Steven R. Livingstone et al.
PLOS ONE (2018)
Investigation of the effect of spectrogram images and different texture analysis methods on speech emotion recognition
Turgut Ozseven
APPLIED ACOUSTICS (2018)
A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal
C. K. Yogesh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Application of Higuchi's fractal dimension from basic to clinical neurophysiology: A review
Srdjan Kesic et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
Feature selection for spontaneous speech analysis to aid in Alzheimer's disease diagnosis: A fractal dimension approach
Karmele Lopez-de-Ipina et al.
COMPUTER SPEECH AND LANGUAGE (2015)
Idealized Computational Models for Auditory Receptive Fields
Tony Lindeberg et al.
PLOS ONE (2015)
Kernel Cross-Modal Factor Analysis for Information Fusion With Application to Bimodal Emotion Recognition
Yongjin Wang et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2012)
What is wrong in Katz's method? Comments on: A note on fractal dimensions of biomedical waveforms
Paolo Castiglioni
COMPUTERS IN BIOLOGY AND MEDICINE (2010)