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A canadian french emotional speech dataset
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4614-6360-3openalex-snapshot
Robust Emotion Recognition using Spectral and Prosodic Features
inferredcites →https://doi.org/10.1016/j.patcog.2010.09.020openalex-snapshot
Survey on speech emotion recognition: Features, classification schemes, and databases
inferredcites →https://doi.org/10.1016/j.specom.2006.04.003openalex-snapshot
Emotional speech recognition: Resources, features, and methods
inferredcites →https://doi.org/10.1016/j.specom.2011.01.011openalex-snapshot
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
inferredcites →https://doi.org/10.1037/0022-3514.52.6.1061openalex-snapshot
Emotion knowledge: Further exploration of a prototype approach.
inferredcites →https://doi.org/10.1037/0033-295x.97.3.315openalex-snapshot
What's basic about basic emotions?
inferredcites →https://doi.org/10.1075/itl.59.01dekopenalex-snapshot
De La Fréquence relative des Phonèmes en Francais et de la Relativité de ces Fréquences
inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot
An argument for basic emotions
inferredcites →https://doi.org/10.1109/79.911197openalex-snapshot
Emotion recognition in human-computer interaction
inferredcites →https://doi.org/10.21437/interspeech.2005-446openalex-snapshot
A database of German emotional speech
inferredcites →https://doi.org/10.3406/lfr.1983.5172openalex-snapshot
La nasale vélaire /ŋ/, un phonème du français?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4671144openalex-extracted
Exploring Speech Emotion Recognition in Sindhi Language: Dataset and Cloud-Based Application Proposal
inferred← citeshttps://doi.org/10.1007/978-3-030-97549-4_52openalex-snapshot
Multi-lingual Emotion Classification Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-02725-2_25openalex-snapshot
Towards Speaker Independent Speech Emotion Recognition by Means of Dataset Aggregation
inferred← citeshttps://doi.org/10.1007/978-981-33-4597-3_63openalex-snapshot
On the Effect of Feature Compression on Speech Emotion Recognition Across Multiple Languages
inferred← citeshttps://doi.org/10.1007/s00521-024-10154-wopenalex-snapshot
Emotional speaker identification using PCAFCM-deepforest with fuzzy logic
inferred← citeshttps://doi.org/10.1007/s13042-023-01948-wopenalex-snapshot
FF-GLAM-cs: a fusion framework based on GLAM with channel shuffle for speech emotion recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122905openalex-snapshot
Assessing the effectiveness of ensembles in Speech Emotion Recognition: Performance analysis under challenging scenarios
inferred← citeshttps://doi.org/10.1038/s41562-022-01505-5openalex-snapshot
Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody
inferred← citeshttps://doi.org/10.1109/access.2025.3565537openalex-snapshot
Dataset Construction and Effectiveness Evaluation of Spoken-Emotion Recognition for Human Machine Interaction
inferred← citeshttps://doi.org/10.1109/acii55700.2022.9953840openalex-snapshot
Multi-Corpus Affect Recognition with Emotion Embeddings and Self-Supervised Representations of Speech
inferred← citeshttps://doi.org/10.1109/apsipaasc65261.2025.11248989openalex-snapshot
PUNSER: Large-Scale Pre-Trained and Unified Model for Practical Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746450openalex-snapshot
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747348openalex-snapshot
SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747417openalex-snapshot
Multi-Lingual Multi-Task Speech Emotion Recognition Using wav2vec 2.0
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446997openalex-snapshot
Improving Domain Generalization in Speech Emotion Recognition with Whisper
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096268openalex-snapshot
Improving Accented Speech Recognition with Multi-Domain Training
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887615openalex-snapshot
Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464446openalex-snapshot
B-GRPO: Unsupervised Speech Emotion Recognition Based on Batched-Group Relative Policy Optimization
inferred← citeshttps://doi.org/10.1109/icast55766.2022.10039580openalex-snapshot
An Algorithmic Approach to Audio Processing and Emotion Mapping
inferred← citeshttps://doi.org/10.1109/icds62089.2024.10756323openalex-snapshot
Real-Time Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/icicis52592.2021.9694246openalex-snapshot
Speech Emotion Recognition System for Human Interaction Applications
inferred← citeshttps://doi.org/10.1109/iscslp63861.2024.10800636openalex-snapshot
ERVQ: Leverage Residual Vector Quantization for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/percomworkshops56833.2023.10150265openalex-snapshot
On efficacy of Meta-Learning for Domain Generalization in Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/ro-man72286.2026.11714587openalex-snapshot
Real-Time Multimodal Emotion Recognition in Human-Robot Interaction: Deployment and Experimental Evaluation
inferred← citeshttps://doi.org/10.1109/sita60746.2023.10373715openalex-snapshot
Call Center Customer Sentiment Analysis Using ML and NLP
inferred← citeshttps://doi.org/10.1109/taffc.2025.3573878openalex-snapshot
A Review of Human Emotion Synthesis Based on Generative Technology
inferred← citeshttps://doi.org/10.1109/taslp.2024.3426301openalex-snapshot
From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3603853openalex-snapshot
Leveraging Content and Acoustic Representations for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3675792openalex-snapshot
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model With Self-Generated Cross-Modal Alignment
inferred← citeshttps://doi.org/10.1142/s0129065725300013openalex-snapshot
A Performance Benchmarking Review of Transformers for Speaker-Independent Speech Emotion Recognition
inferred← citeshttps://doi.org/10.1145/3563944openalex-snapshot
Phase-based Cepstral features for Automatic Speech Emotion Recognition of Low Resource Indian languages
inferred← citeshttps://doi.org/10.1145/3717511.3749303openalex-snapshot
EVE: Emotional Validated Expressions, an acted audiovisual corpus
inferred← citeshttps://doi.org/10.1155/2021/9916915openalex-snapshot
The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.18413/2518-1092-2022-7-2-0-7openalex-snapshot
DETERMINATION OF MARKERS OF AGGRESSIVE BEHAVIOR BASED ON THE ANALYSIS OF AUDIO AND TEXT CHANNELS
inferred← citeshttps://doi.org/10.18413/2518-1092-2022-8-2-0-5openalex-snapshot
THE METHOD OF IDENTIFYING INDIRECT SIGNS OF CORRUPTION ACTS BASED ON VIDEO RECORDINGS OF SPEECHES OF CIVIL SERVANTS
inferred← citeshttps://doi.org/10.21437/interspeech.2021-2217openalex-snapshot
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech
inferred← citeshttps://doi.org/10.21437/interspeech.2021-556openalex-snapshot
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
inferred← citeshttps://doi.org/10.21437/interspeech.2022-353openalex-snapshot
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems
inferred← citeshttps://doi.org/10.21437/jep.2022-45openalex-snapshot
Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français
inferred← citeshttps://doi.org/10.2196/74260openalex-snapshot
Speech Emotion Recognition in Mental Health: Systematic Review of Voice-Based Applications
inferred← citeshttps://doi.org/10.3390/data10100164openalex-snapshot
Review and Comparative Analysis of Databases for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.35470/2226-4116-2022-11-4-210-216openalex-snapshot
Detecting incongruity in the expression of emotions in short videos based on a multimodal approach
inferred← citeshttps://doi.org/10.48550/arxiv.1905.11173openalex-snapshot
ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2105.02055openalex-snapshot
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora
inferred← citeshttps://doi.org/10.55630/dipp.2020.10.5openalex-snapshot
Cross-Cultural Emotion Recognition and Comparison Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.70675/1ee1ec61za8e2z465azbd08z950ac2a14d7fopenalex-snapshot
Dimensions de variation de la parole spontanée pour l'étude inter-corpus des performances de systèmes de reconnaissance automatique de la parole
inferred← citeshttps://doi.org/10.70675/b44b847azf274z4851za996z397c3d49ca73openalex-snapshot
Expressivity transfer in deep learning based text-to-speech synthesis
inferred← citeshttps://doi.org/10.70675/d64c4bf2z99b1z4e18zbc76z736e91c6d559openalex-snapshot
Apprentissage automatique des expressions émotionnelles à partir de signaux acoustiques et de textes
inferred← citeshttps://doi.org/10.7557/18.6300openalex-snapshot
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages
inferred← citeshttps://doi.org/10.7717/peerj-cs.954openalex-snapshot
An Urdu speech corpus for emotion recognition
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