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The INTERSPEECH 2010 paralinguistic challenge

https://doi.org/10.21437/interspeech.2010-739

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What this work says

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

inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot

Data Mining: Practical Machine Learning Tools and Techniques

inferredcites →https://doi.org/10.1016/j.imavis.2009.02.013openalex-snapshot

Being bored? Recognising natural interest by extensive audiovisual integration for real-life application

inferredcites →https://doi.org/10.1109/acii.2009.5349350openalex-snapshot

OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

inferredcites →https://doi.org/10.1109/icme.2008.4607572openalex-snapshot

The Vera am Mittag German audio-visual emotional speech database

inferredcites →https://doi.org/10.1155/2010/783954openalex-snapshot

On the Impact of Children's Emotional Speech on Acoustic and Language Models

inferredcites →https://doi.org/10.1155/2010/835974openalex-snapshot

Atypical Speech

inferredcites →https://doi.org/10.21437/interspeech.2006-275openalex-snapshot

Real-life emotions detection with lexical and paralinguistic cues on human-human call center dialogs

inferredcites →https://doi.org/10.21437/interspeech.2009-103openalex-snapshot

The INTERSPEECH 2009 emotion challenge

inferredcites →https://doi.org/10.21437/speechprosody.2006-189openalex-snapshot

Using prosodic and voice quality features for paralinguistic information extraction

inferredcites →https://doi.org/10.63317/2mgazc5z3h3uopenalex-snapshot

A Database of Age and Gender Annotated Telephone Speech

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

inferred← citeshttps://doi.org/10.1002/9781118706664.app1openalex-snapshot

Appendix

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Taxonomies

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Aspects of Modelling

inferred← citeshttps://doi.org/10.1002/9781118706664.ch5openalex-snapshot

Functional Aspects

inferred← citeshttps://doi.org/10.1002/9781118706664.ch6openalex-snapshot

Corpus Engineering

inferred← citeshttps://doi.org/10.1002/9781118910566.ch10openalex-snapshot

Emotion Recognition in Naturalistic Speech and Language—A Survey

inferred← citeshttps://doi.org/10.1002/9781394214624.ch10openalex-snapshot

CoRePooL—Corpus for Resource‐Poor Languages

inferred← citeshttps://doi.org/10.1007/978-0-85729-994-9_10openalex-snapshot

Continuous Analysis of Affect from Voice and Face

inferred← citeshttps://doi.org/10.1007/978-0-85729-994-9_9openalex-snapshot

Voice and Speech Analysis in Search of States and Traits

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Contemporary Methods for Speech Parameterization

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Classification of Formal and Informal Dialogues Based on Emotion Recognition Features

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Automatic Recognition of Speaker Age and Gender Based on Deep Neural Networks

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Feature Analysis for Emotional Content Comparison in Speech

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Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information

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Understanding Public Speakers’ Performance: First Contributions to Support a Computational Approach

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Effective Speech Features for Distinguishing Mild Dementia Patients from Healthy Person

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Transfer Learning in Speaker’s Age and Gender Recognition

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Multimodal Analysis of Client Persuasion in Consulting Interactions: Toward Understanding Successful Consulting

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Voice Emotion Recognition in Real Time Applications

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Towards Speech-Based Collaboration Detection in a Noisy Classroom

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Emotion Recognition System for Arabic Speech: Case Study Egyptian Accent

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A Comparative Analysis of Classification, Feature Selection, and Feature Extraction Methods for Depression Detection Using Voice Signals

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Emotion Recognition from Voice Using Feature Extraction and Deep Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-08108-3_19openalex-snapshot

Emotion and Disposition Detection in Medical Machines: Chances and Challenges

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Detecting Speech Interruptions for Automatic Conflict Detection

inferred← citeshttps://doi.org/10.1007/978-3-319-14081-0_20openalex-snapshot

Conflict Cues in Call Center Interactions

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A Study on Natural Expressive Speech: Automatic Memorable Spoken Quote Detection

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EmoChildRu: Emotional Child Russian Speech Corpus

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A Novel Speech Emotion Recognition Method via Transfer PCA and Sparse Coding

inferred← citeshttps://doi.org/10.1007/978-3-319-27299-3_2openalex-snapshot

Acoustic Features and Modelling

inferred← citeshttps://doi.org/10.1007/978-3-319-27299-3_3openalex-snapshot

Standard Baseline Feature Sets

inferred← citeshttps://doi.org/10.1007/978-3-319-27299-3_4openalex-snapshot

Real-time Incremental Processing

inferred← citeshttps://doi.org/10.1007/978-3-319-27299-3_6openalex-snapshot

Evaluation

inferred← citeshttps://doi.org/10.1007/978-3-319-27299-3_7openalex-snapshot

Discussion and Outlook

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Robust Acoustic Emotion Recognition Based on Cascaded Normalization and Extreme Learning Machines

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Emotion Modelling via Speech Content and Prosody: In Computer Games and Elsewhere

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Automatic Detection of Parkinson’s Disease: An Experimental Analysis of Common Speech Production Tasks Used for Diagnosis

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Recognizing Emotionally Coloured Dialogue Speech Using Speaker-Adapted DNN-CNN Bottleneck Features

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Simple Acoustic-Prosodic Models of Confidence and Likability are Associated with Long-Term Funding Outcomes for Entrepreneurs

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Combined Feature Representation for Emotion Classification from Russian Speech

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Towards Empathetic Human-Robot Interactions

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Speech Emotion Recognition Based on a Recurrent Neural Network Classification Model

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Multimodal Fusion of Spatial-Temporal Features for Emotion Recognition in the Wild

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Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model

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Enhancing Emotion Recognition from Speech through Feature Selection

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AVEC 2011–The First International Audio/Visual Emotion Challenge

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Ten Recent Trends in Computational Paralinguistics

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Applications in Intelligent Speech Analysis

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Discussion

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Ein KI-basiertes Framework für Sprach- und Stimmanalyse zur automatischen Bewertung der Qualität von Servicegesprächen

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An AI-Based Framework for Speech and Voice Analytics to Automatically Assess the Quality of Service Conversations

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Fisher Kernels on Phase-Based Features for Speech Emotion Recognition

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The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge

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Literature Survey on Emotion Recognition for Social Signal Processing

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Detection of Basic Emotions from Cats’ Meowing

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Discriminative Feature Construction Using Multi-labeling Approach for Automatic Speech Emotion Recognition

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Attention and Feature Selection for Automatic Speech Emotion Recognition Using Utterance and Syllable-Level Prosodic Features

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Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition

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Transfer Accent Identification Learning for Enhancing Speech Emotion Recognition

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New transformed features generated by deep bottleneck extractor and a GMM–UBM classifier for speaker age and gender classification

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

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Affective speaker state analysis in the presence of reverberation

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Emotion recognition using semi-supervised feature selection with speaker normalization

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Significance of Phonological Features in Speech Emotion Recognition

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A framework for quality assessment of synthesised speech using learning-based objective evaluation

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Speaker and gender dependencies in within/cross linguistic Speech Emotion Recognition

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Towards modeling raw speech in gender identification of children using sincNet over ERB scale

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Spectro-temporal directional derivative based automatic speech recognition for a serious game scenario

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Ensemble softmax regression model for speech emotion recognition

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Multi-modal learning for affective content analysis in movies

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Deep learning approaches for speech emotion recognition: state of the art and research challenges

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Diversity subspace generation based on feature selection for speech emotion recognition

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Cognitive Gravity Model Based Semi-Supervised Dimension Reduction

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Multi-layer maximum mean discrepancy in auto-encoders for cross-corpus speech emotion recognition

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Combining modality-specific extreme learning machines for emotion recognition in the wild

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Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis

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Inference of Human Beings’ Emotional States from Speech in Human–Robot Interactions

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Speaker age and gender classification using GMM supervector and NAP channel compensation method

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Multimodal emotion recognition based on feature selection and extreme learning machine in video clips

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Computational Assessment of Interest in Speech—Facing the Real-Life Challenge

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Emotional and User-Specific Acoustic Cues for Improved Analysis of Naturalistic Interactions

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SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes

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Improving Indian Spoken-Language Identification by Feature Selection in Duration Mismatch Framework

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A new pitch-range based feature set for a speaker’s age and gender classification

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Unsupervised feature selection and NMF de-noising for robust Speech Emotion Recognition

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A modified feature selection method based on metaheuristic algorithms for speech emotion recognition

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Transferable discriminant linear regression for cross-corpus speech emotion recognition

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Weighted spectral features based on local Hu moments for speech emotion recognition

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Depression recognition base on acoustic speech model of Multi-task emotional stimulus

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Creating the Hu-Int dataset: A comprehensive Arabic speech dataset for gender detection and age estimation of Arab celebrities

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FCAN : Speech emotion recognition network based on focused contrastive learning

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A new approach with score-level fusion for the classification of a speaker age and gender

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Speaker state recognition using an HMM-based feature extraction method

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Automatic speaker age and gender recognition using acoustic and prosodic level information fusion

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Paralinguistics in speech and language—State-of-the-art and the challenge

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Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification

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Medium-term speaker states—A review on intoxication, sleepiness and the first challenge

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Vocal fatigue induced by prolonged oral reading: Analysis and detection

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Speaker state classification based on fusion of asymmetric simple partial least squares (SIMPLS) and support vector machines

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Shape-based modeling of the fundamental frequency contour for emotion detection in speech

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Affective speech interface in serious games for supporting therapy of mental disorders

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Age and gender classification from speech and face images by jointly fine-tuned deep neural networks

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Alzheimer's disease and automatic speech analysis: A review

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Automatic children’s personality assessment from emotional speech

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Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects

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TransformerCARE: A novel speech analysis pipeline using transformer-based models and audio augmentation techniques for cognitive impairment detection

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Categorical and dimensional affect analysis in continuous input: Current trends and future directions

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Video-based emotion recognition in the wild using deep transfer learning and score fusion

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End-to-end multimodal affect recognition in real-world environments

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Generative technology for human emotion recognition: A scoping review

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Exploiting the potentialities of features for speech emotion recognition

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Major depressive disorder discrimination using vocal acoustic features

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Low-rank joint distribution adaptation for cross-corpus speech emotion recognition

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Speech emotion recognition based on feature selection and extreme learning machine decision tree

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Visual-audio emotion recognition based on multi-task and ensemble learning with multiple features

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Sparse additive discriminant canonical correlation analysis for multiple features fusion

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

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Speech emotion recognition based on multi-feature speed rate and LSTM

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Evaluating deep learning architectures for Speech Emotion Recognition

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Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech

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Automatic selection of spoken language biomarkers for dementia detection

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Feature optimisation for stress recognition in speech

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Recognizing Emotion from Speech Based on Age and Gender Using Hierarchical Models

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Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

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Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor

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Recognizing affect from speech prosody using hierarchical graphical models

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Toward automating a human behavioral coding system for married couples’ interactions using speech acoustic features

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Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization

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Investigation of different speech types and emotions for detecting depression using different classifiers

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A supervised non-negative matrix factorization model for speech emotion recognition

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Fusion of deep learning features with mixture of brain emotional learning for audio-visual emotion recognition

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Response type selection for chat-like spoken dialog systems based on LSTM and multi-task learning

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Analysis of acoustic and voice quality features for the classification of infant and mother vocalizations

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Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition

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CyTex: Transforming speech to textured images for speech emotion recognition

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Fusion-based speech emotion classification using two-stage feature selection

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Automatic classification of neurological voice disorders using wavelet scattering features

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A feature engineering approach for literary and colloquial Tamil speech classification using 1D-CNN

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Multi-scale discrepancy adversarial network for cross-corpus speech emotion recognition

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Survey on audiovisual emotion recognition: databases, features, and data fusion strategies

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Improving speech emotion recognition based on acoustic words emotion dictionary

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Automatic vocalisation-based detection of fragile X syndrome and Rett syndrome

inferred← citeshttps://doi.org/10.1038/s41598-024-68864-zopenalex-snapshot

Advanced differential evolution for gender-aware English speech emotion recognition

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Semi‐supervised Robust Feature Selection with ℓq‐Norm Graph for Multiclass Classification

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Speech emotion recognition method based on hidden factor analysis

inferred← citeshttps://doi.org/10.1049/iet-spr.2016.0336openalex-snapshot

Speech emotion classification using combined neurogram and INTERSPEECH 2010 paralinguistic challenge features

inferred← citeshttps://doi.org/10.1075/is.22038.bolopenalex-snapshot

Quietly angry, loudly happy

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Automatic voice emotion recognition of child-parent conversations in natural settings

inferred← citeshttps://doi.org/10.1080/02533839.2026.2683464openalex-snapshot

An enhanced multimodal emotion recognition framework using ShuffleNet V2 and efficient channel attention

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Speech emotion recognition based on hierarchical attributes using feature nets

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Detecting cognitive decline using speech only: The ADReSS O Challenge

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Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition

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Calibrated Prediction Intervals for Neural Network Regressors

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Trace Ratio Criterion Based Large Margin Subspace Learning for Feature Selection

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Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine

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Learning Salient Segments for Speech Emotion Recognition Using Attentive Temporal Pooling

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Speech Emotion Recognition by Combining a Unified First-Order Attention Network With Data Balance

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Autoencoder With Emotion Embedding for Speech Emotion Recognition

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Automated Recognition of Alzheimer’s Dementia Using Bag-of-Deep-Features and Model Ensembling

inferred← citeshttps://doi.org/10.1109/access.2021.3092735openalex-snapshot

Multimodal Emotion Recognition Fusion Analysis Adapting BERT With Heterogeneous Feature Unification

inferred← citeshttps://doi.org/10.1109/access.2021.3111659openalex-snapshot

Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set

inferred← citeshttps://doi.org/10.1109/access.2021.3135658openalex-snapshot

TLEFuzzyNet: Fuzzy Rank-Based Ensemble of Transfer Learning Models for Emotion Recognition From Human Speeches

inferred← citeshttps://doi.org/10.1109/access.2022.3189481openalex-snapshot

Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings

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Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition

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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals

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Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?

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Segment-based speech emotion recognition using recurrent neural networks

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Decoding Hostility from Conversations Through Speech and Text Integration

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An Ensemble Framework of Voice-Based Emotion Recognition System

inferred← citeshttps://doi.org/10.1109/aciiasia.2018.8470362openalex-snapshot

The Turkish Audio-Visual Bipolar Disorder Corpus

inferred← citeshttps://doi.org/10.1109/aciiw.2019.8925042openalex-snapshot

Speech, Head, and Eye-based Cues for Continuous Affect Prediction

inferred← citeshttps://doi.org/10.1109/aide64228.2025.10987354openalex-snapshot

Speech Emotion Recognition using Machine Learning

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The use of semantic and acoustic features for open-domain TED talk summarization

inferred← citeshttps://doi.org/10.1109/apsipa.2017.8282230openalex-snapshot

Selecting type of response for chat-like spoken dialogue systems based on acoustic features of user utterances

inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023347openalex-snapshot

Adversarial Data Augmentation Network for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317278openalex-snapshot

Jointly Modelling Transcriptions and Phonemes with Optimal Features to Detect Dementia from Spontaneous Cantonese

inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317373openalex-snapshot

Robust Representation Learning for Speech Emotion Recognition with Moment Exchange

inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317510openalex-snapshot

Coarse-Age Loss: A New Training Method Using Coarse-Age Labeled Data for Speaker Age Estimation

inferred← citeshttps://doi.org/10.1109/asru.2015.7404867openalex-snapshot

A study of social-affective communication: Automatic prediction of emotion triggers and responses in television talk shows

inferred← citeshttps://doi.org/10.1109/asru46091.2019.9003892openalex-snapshot

Detecting Deception in Political Debates Using Acoustic and Textual Features

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