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Application of Speech Emotion Recognition in Intelligent Household Robot

https://doi.org/10.1109/aici.2010.118

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/s0167-6393(02)00079-1openalex-snapshot

How to find trouble in communication

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Emotion recognition in human-computer interaction

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Exploring Speech Emotion Recognition in Sindhi Language: Dataset and Cloud-Based Application Proposal

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Speech Emotion Recognition: A Review

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Pairwise-Emotion Data Distribution Smoothing for Emotion Recognition

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ShEMO: a large-scale validated database for Persian speech emotion detection

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Investigation of multilingual and mixed-lingual emotion recognition using enhanced cues with data augmentation

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Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

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Graph based emotion recognition with attention pooling for variable-length utterances

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Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers

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Survey and perspective on social emotions in robotics

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Head Fusion: Improving the Accuracy and Robustness of Speech Emotion Recognition on the IEMOCAP and RAVDESS Dataset

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XEmoAccent: Embracing Diversity in Cross-Accent Emotion Recognition Using Deep Learning

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Analysis of Spectro-Temporal Modulation Representation for Deep-Fake Speech Detection

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Emotion recognition using multi-parameter speech feature classification

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Speech Emotion Recognition with Limited Data: A Layer-Wise Analysis on a Novel Low-Resource Multilingual Corpus

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Speech Emotion Recognition Using Deep Learning Techniques and Augmented Features

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Development of speech emotion recognition system using deep belief networks in malayalam language

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Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation

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Reference Microphone Selection and Low-Rank Approximation Based Multichannel Wiener Filter with Application to Speech Recognition

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Gen-SER: When the Generative Model Meets Speech Emotion Recognition

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Vision Transformer and Parallel Convolutional Neural Network for Speech Emotion Recognition

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Multimodal information fusion of audiovisual emotion recognition using novel information theoretic tools

inferred← citeshttps://doi.org/10.1109/icoei56765.2023.10125902openalex-snapshot

Machine Learning based Speech Emotion Recognition in Hindi Audio

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EmoMeter: Measuring mixed emotions using weighted combinational model

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A study of support vector machines for emotional speech recognition

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A Speech Emotion Recognition Solution-based on Support Vector Machine for Children with Autism Spectrum Disorder to Help Identify Human Emotions

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Emotional Subtitles Through Speech in Films: A Case Study

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Multimodal Information Fusion of Audio Emotion Recognition Based on Kernel Entropy Component Analysis

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Speech Emotion Recognition with Complementary Acoustic Representations

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Advancements and challenges in speech emotion recognition: a comprehensive review

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Effective Technique for Noise Removal and Emotion Recognition in Speech Signals Using Cat Swarm Optimized Spiking Neural Networks

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Multi-feature stacking order impact on speech emotion recognition performance

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Speech emotion recognition based on emotion perception

inferred← citeshttps://doi.org/10.17721/ait.2021.1.06openalex-snapshot

Intelligent module for recognizing emotions by voice

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Emotion Recognition from Speech Utterances with Hybrid Spectral Features Using Machine Learning Algorithms

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Deep Learning for Audio Visual Emotion Recognition

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A Method upon Deep Learning for Speech Emotion Recognition

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Audiovisual Emotion Recognition Using Entropy-estimation-based Multimodal Information Fusion

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Audiovisual Emotion Recognition Using Entropy-estimation-based Multimodal Information Fusion

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Make Patient Consultation Warmer: A Clinical Application for Speech Emotion Recognition

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A Novel Heterogeneous Parallel Convolution Bi-LSTM for Speech Emotion Recognition

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Speech Emotion Recognition Using Attention Model

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An Examination of Emotion Recognition using Machine Learning Algorithms on Different Speech Databases

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Deep Learning for Emotion Recognition

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Multimodal Information Fusion of Audiovisual Emotion Recognition Using Novel Information Theoretic Tools

inferred← citeshttps://doi.org/10.48550/arxiv.2009.08909openalex-snapshot

Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection

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Speech Emotion Recognition with Multiscale Area Attention and Data Augmentation

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