Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Stressed speech emotion recognition using feature fusion of teager energy operator and MFCC
Emotional speech recognition: Resources, features, and methods
Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture
Kernel-based feature extraction with a speech technology application
Speech Emotion Recognition Considering Local Dynamic Features
Speech emotion recognition based on HMM and SVM
An experimental study of speech emotion recognition based on deep convolutional neural networks
A study of support vector machines for emotional speech recognition
Mel-cepstrum modulation spectrum (MCMS) features for robust ASR
Emotion Recognition in Speech Using Neural Networks
Recognition of negative emotions from the speech signal
Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels
Speaker independent emotion recognition based on SVM/HMMS fusion system
Stress detection from speech and Galvanic Skin Response signals
Speech emotion recognition using hidden Markov models
feature extraction and classification techniques for speech recognition : a review .
Speech emotion recognition based on Gaussian Mixture Models and Deep Neural Networks
Choice of Mel filter bank in computing MFCC of a resampled speech
analysis of emotion recognition system through speech signal using knn , gmm & svm classifier .
End-to-end speech emotion recognition using multi-scale convolution networks
Fourier-Bessel cepstral coefficients for robust speech recognition
Varieties of User-Centeredness
Expressive speech synthesis using a concatenative synthesizer
Immune evasion in human papillomavirus-associated cervical cancer
Minimally Supervised Event Causality Identification
Storytelling with robots: Learning companions for preschool children's language development