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Contribution of Perceptual Semantic Primitives to Self-Supervised Learning Representations for Speech Emotion Recognition

https://doi.org/10.2139/ssrn.5129679
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inferredcites →https://doi.org/10.1002/0470013494openalex-snapshot
Handbook of cognition and emotion
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_9openalex-snapshot
Deep Clustering for Unsupervised Learning of Visual Features
inferredcites →https://doi.org/10.1007/s11042-022-12411-3openalex-snapshot
Emotion detection from multilingual audio using deep analysis
inferredcites →https://doi.org/10.1007/s11042-022-14051-zopenalex-snapshot
A statistical feature extraction for deep speech emotion recognition in a bilingual scenario
inferredcites →https://doi.org/10.1016/j.apacoust.2021.108046openalex-snapshot
Improved speech emotion recognition with Mel frequency magnitude coefficient
inferredcites →https://doi.org/10.1016/j.apacoust.2023.109492openalex-snapshot
Emotional speech Recognition using CNN and Deep learning techniques
inferredcites →https://doi.org/10.1016/j.asoc.2021.107373openalex-snapshot
Deep learning and multilingual sentiment analysis on social media data: An overview
inferredcites →https://doi.org/10.1016/j.bspc.2023.104679openalex-snapshot
Multi-cultural speech emotion recognition using language and speaker cues
inferredcites →https://doi.org/10.1016/j.chb.2019.04.001openalex-snapshot
Feeling our way to machine minds: People's emotions when perceiving mind in artificial intelligence
inferredcites →https://doi.org/10.1016/j.compedu.2019.103649openalex-snapshot
Affective computing in education: A systematic review and future research
inferredcites →https://doi.org/10.1016/j.eswa.2005.09.058openalex-snapshot
Speech recognition using a wavelet packet adaptive network based fuzzy inference system
inferredcites →https://doi.org/10.1016/j.eswa.2023.121368openalex-snapshot
Semi-supervised cross-lingual speech emotion recognition
inferredcites →https://doi.org/10.1016/j.jer.2023.08.016openalex-snapshot
An end-to-end Tacotron model versus pre trained Tacotron model for Arabic text-to-speech synthesis
inferredcites →https://doi.org/10.1016/j.knosys.2021.107914openalex-snapshot
DeepResGRU: Residual gated recurrent neural network-augmented Kalman filtering for speech enhancement and recognition
inferredcites →https://doi.org/10.1016/j.specom.2007.01.010openalex-snapshot
Primitives-based evaluation and estimation of emotions in speech
inferredcites →https://doi.org/10.1016/j.specom.2008.05.017openalex-snapshot
A three-layered model for expressive speech perception
inferredcites →https://doi.org/10.1016/j.specom.2019.04.004openalex-snapshot
Improving multilingual speech emotion recognition by combining acoustic features in a three-layer model
inferredcites →https://doi.org/10.1016/s0010-9452(74)80017-1openalex-snapshot
Verbal Comprehension in Aphasia: An English Version of Three Italian Tests
inferredcites →https://doi.org/10.1023/a:1023426522496openalex-snapshot
Context-Independent Multilingual Emotion Recognition from Speech Signals
inferredcites →https://doi.org/10.1093/oso/9780192631886.003.0014openalex-snapshot
Communicating Emotion In Music Performance: A Review And Theoretical Framework
inferredcites →https://doi.org/10.1109/97.928676openalex-snapshot
Mel filter-like admissible wavelet packet structure for speech recognition
inferredcites →https://doi.org/10.1109/accai61061.2024.10601715openalex-snapshot
Multi-Lingual Speech Emotion Recognition: Investigating Similarities between English and German Languages
inferredcites →https://doi.org/10.1109/access.2022.3225198openalex-snapshot
Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/apsipa.2014.7041623openalex-snapshot
Toward affective speech-to-speech translation: Strategy for emotional speech recognition and synthesis in multiple languages
inferredcites →https://doi.org/10.1109/icassp.2000.861829openalex-snapshot
Mel-scaled discrete wavelet coefficients for speech recognition
inferredcites →https://doi.org/10.1109/icassp40776.2020.9054073openalex-snapshot
Multi-Head Attention for Speech Emotion Recognition with Auxiliary Learning of Gender Recognition
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747077openalex-snapshot
Unispeech-Sat: Universal Speech Representation Learning With Speaker Aware Pre-Training
inferredcites →https://doi.org/10.1109/icassp48485.2024.10447678openalex-snapshot
Generalization of Self-Supervised Learning-Based Representations for Cross-Domain Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095250openalex-snapshot
Phonetic Anchor-Based Transfer Learning to Facilitate Unsupervised Cross-Lingual Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095780openalex-snapshot
Structured Pruning of Self-Supervised Pre-Trained Models for Speech Recognition and Understanding
inferredcites →https://doi.org/10.1109/icasspw59220.2023.10193459openalex-snapshot
Zero-Shot Text-to-Speech Synthesis Conditioned Using Self-Supervised Speech Representation Model
inferredcites →https://doi.org/10.1109/icemi.2009.5274116openalex-snapshot
Emotional feature analysis and recognition in multilingual speech signal
inferredcites →https://doi.org/10.1109/jstsp.2022.3188113openalex-snapshot
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
inferredcites →https://doi.org/10.1109/jstsp.2022.3201445openalex-snapshot
Efficient Self-Supervised Learning Representations for Spoken Language Identification
inferredcites →https://doi.org/10.1109/lsp.2016.2537926openalex-snapshot
Cross-Corpus Speech Emotion Recognition Based on Domain-Adaptive Least-Squares Regression
inferredcites →https://doi.org/10.1109/msp.2021.3106890openalex-snapshot
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview
inferredcites →https://doi.org/10.1109/t-affc.2010.8openalex-snapshot
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
inferredcites →https://doi.org/10.1109/taffc.2022.3167013openalex-snapshot
Self Supervised Adversarial Domain Adaptation for Cross-Corpus and Cross-Language Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/taslp.2018.2867099openalex-snapshot
Domain Adversarial for Acoustic Emotion Recognition
inferredcites →https://doi.org/10.1109/taslp.2021.3120586openalex-snapshot
Speech Emotion Recognition Using Sequential Capsule Networks
inferredcites →https://doi.org/10.1109/taslp.2021.3122291openalex-snapshot
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
inferredcites →https://doi.org/10.1109/taslp.2023.3289312openalex-snapshot
Music Theory-Inspired Acoustic Representation for Speech Emotion Recognition
inferredcites →https://doi.org/10.1109/tmm.2015.2463722openalex-snapshot
Multimodal Multi-Channel On-Line Speaker Diarization Using Sensor Fusion Through SVM
inferredcites →https://doi.org/10.1146/annurev.so.15.080189.001533openalex-snapshot
The Sociology Of Emotions
inferredcites →https://doi.org/10.1177/0539018405058216openalex-snapshot
What are emotions? And how can they be measured?
inferredcites →https://doi.org/10.1250/ast.35.86openalex-snapshot
Improving speech emotion dimensions estimation using a three-layer model of human perception
inferredcites →https://doi.org/10.1371/journal.pone.0220386openalex-snapshot
A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme
inferredcites →https://doi.org/10.1609/aaai.v36i11.21587openalex-snapshot
PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract)
inferredcites →https://doi.org/10.20944/preprints202008.0645.v1openalex-snapshot
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
inferredcites →https://doi.org/10.21437/interspeech.2005-446openalex-snapshot
A database of German emotional speech
inferredcites →https://doi.org/10.21437/interspeech.2016-1557openalex-snapshot
Analysis of Multi-Lingual Emotion Recognition Using Auditory Attention Features
inferredcites →https://doi.org/10.21437/interspeech.2019-2229openalex-snapshot
The Contribution of Acoustic Features Analysis to Model Emotion Perceptual Process for Language Diversity
inferredcites →https://doi.org/10.21437/interspeech.2021-1775openalex-snapshot
SUPERB: Speech Processing Universal PERformance Benchmark
inferredcites →https://doi.org/10.21437/interspeech.2022-10955openalex-snapshot
Voice Activity Projection: Self-supervised Learning of Turn-taking Events
inferredcites →https://doi.org/10.21437/speechprosody.2010-123openalex-snapshot
Approaching multi-lingual emotion recognition from speech - on language dependency of acoustic/prosodic features for anger recognition
inferredcites →https://doi.org/10.3390/app13169062openalex-snapshot
Cross-Corpus Training Strategy for Speech Emotion Recognition Using Self-Supervised Representations
inferredcites →https://doi.org/10.3390/app132312587openalex-snapshot
Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages
inferredcites →https://doi.org/10.3390/make1010030openalex-snapshot
Gender Recognition by Voice Using an Improved Self-Labeled Algorithm
inferredcites →https://doi.org/10.4230/oasics.nines.2026.13openalex-snapshot
In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication
inferredcites →https://doi.org/10.48550/arxiv.2101.07597openalex-snapshot
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
inferredcites →https://doi.org/10.48550/arxiv.2110.05752openalex-snapshot
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
inferredcites →https://doi.org/10.48550/arxiv.2111.02735openalex-snapshot
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding
inferredcites →https://doi.org/10.48550/arxiv.2203.03022openalex-snapshot
HEAR: Holistic Evaluation of Audio Representations
inferredcites →https://doi.org/10.48550/arxiv.2304.11472openalex-snapshot
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition
inferredcites →https://doi.org/10.5860/choice.189951openalex-snapshot
The Psychological construction of emotion
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