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Emotion Recognition from Speech Using wav2vec 2.0 Embeddings

https://doi.org/10.21437/interspeech.2021-703

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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/s10579-008-9076-6openalex-snapshot

IEMOCAP: interactive emotional dyadic motion capture database

inferredcites →https://doi.org/10.1007/s10772-012-9172-2openalex-snapshot

Emotion recognition from speech using global and local prosodic features

inferredcites →https://doi.org/10.1016/j.bspc.2020.101894openalex-snapshot

Speech emotion recognition with deep convolutional neural networks

inferredcites →https://doi.org/10.1016/j.neunet.2017.02.013openalex-snapshot

Evaluating deep learning architectures for Speech Emotion Recognition

inferredcites →https://doi.org/10.1016/j.specom.2011.06.004openalex-snapshot

Emotion recognition using a hierarchical binary decision tree approach

inferredcites →https://doi.org/10.1109/emeit.2011.6023178openalex-snapshot

Automatic Speech Emotion Recognition using Support Vector Machine

inferredcites →https://doi.org/10.1109/icassp.2015.7178964openalex-snapshot

Librispeech: An ASR corpus based on public domain audio books

inferredcites →https://doi.org/10.1109/icassp.2016.7472649openalex-snapshot

Analysis of DNN approaches to speaker identification

inferredcites →https://doi.org/10.1109/icassp.2017.7952552openalex-snapshot

Automatic speech emotion recognition using recurrent neural networks with local attention

inferredcites →https://doi.org/10.1109/icme.2003.1220939openalex-snapshot

Hidden Markov model-based speech emotion recognition

inferredcites →https://doi.org/10.1109/nlpke.2005.1598724openalex-snapshot

Emotions in Speech - Experiments with Prosody and Quality Features in Speech for Use in Categorical and Dimensional Emotion Recognition Environments

inferredcites →https://doi.org/10.1109/taffc.2015.2457417openalex-snapshot

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

inferredcites →https://doi.org/10.1109/taffc.2017.2736999openalex-snapshot

Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings

inferredcites →https://doi.org/10.1145/1143844.1143891openalex-snapshot

Connectionist temporal classification

inferredcites →https://doi.org/10.1145/1873951.1874246openalex-snapshot

Opensmile

inferredcites →https://doi.org/10.1201/9781410615862-13openalex-snapshot

EMOTION IN HUMAN-COMPUTER INTERACTION

inferredcites →https://doi.org/10.1371/journal.pone.0196391openalex-snapshot

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot

Deep Contextualized Word Representations

inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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.2017-200openalex-snapshot

Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms

inferredcites →https://doi.org/10.21437/interspeech.2019-1873openalex-snapshot

wav2vec: Unsupervised Pre-Training for Speech Recognition

inferredcites →https://doi.org/10.21437/interspeech.2020-1212openalex-snapshot

Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition

inferredcites →https://doi.org/10.21437/interspeech.2020-3015openalex-snapshot

Conformer: Convolution-augmented Transformer for Speech Recognition

inferredcites →https://doi.org/10.4018/978-1-61520-919-4openalex-snapshot

Machine Audition: Principles, Algorithms and Systems

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.1611.01144openalex-snapshot

Categorical Reparameterization with Gumbel-Softmax

inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot

Attention Is All You Need

inferredcites →https://doi.org/10.48550/arxiv.1910.05453openalex-snapshot

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

inferredcites →https://doi.org/10.48550/arxiv.1912.10458openalex-snapshot

Emotion Recognition from Speech

inferredcites →https://doi.org/10.48550/arxiv.2007.14602openalex-snapshot

Transformer based unsupervised pre-training for acoustic representation learning

inferredcites →https://doi.org/10.48550/arxiv.2102.01930openalex-snapshot

General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework

inferredcites →https://doi.org/10.48550/arxiv.2102.06357openalex-snapshot

Contrastive Unsupervised Learning for Speech Emotion Recognition

inferredcites →https://doi.org/10.5715/jnlp.14.4_83openalex-snapshot

Emotion Recognition using Mel-Frequency Cepstral Coefficients

What points at this work

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

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Speech Emotion Classification: A Survey of the State-of-the-Art

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Study of Deepfake Audio Detection in Telephone Speech with Pretrained Self-supervised Models

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Benchmarking Pretrained Speech Models for Arabic Dialect Identification with Cross-Corpus Evaluation

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Emotion Recognition from Speech Using Convolutional Neural Networks

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Responsibility-Oriented Evaluation of Vietnamese Speech Emotion Recognition Under Class Imbalance and Silver Labels

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WTSM-Net: Speech Emotion Recognition Network Combining Local Dynamic Enhancement and Long-range Sequence Modeling

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FluLLM: Speech Fluency Classification Based on Multi-modal Large Language Models

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High-Context Intention Within One-Word Speech: An Extreme Challenge for Paralanguage Recognition

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Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings

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inferred← citeshttps://doi.org/10.1109/hsi55341.2022.9869453openalex-snapshot

ScSer: Supervised Contrastive Learning for Speech Emotion Recognition using Transformers

inferred← citeshttps://doi.org/10.1109/icaiss68683.2026.11526360openalex-snapshot

Adaptive Multi-Resolution Attention Networks for Speech Emotion Recognition with Temporal Consistency Regularization

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746303openalex-snapshot

Investigating Self-Supervised Learning for Speech Enhancement and Separation

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746409openalex-snapshot

Multi-Task Voice Activated Framework Using Self-Supervised Learning

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746952openalex-snapshot

Fine-Tuning Wav2Vec2 for Speaker 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/icassp43922.2022.9747432openalex-snapshot

Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747460openalex-snapshot

Speaker Normalization for Self-Supervised Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747754openalex-snapshot

Representation Learning Through Cross-Modal Conditional Teacher-Student Training For Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747756openalex-snapshot

Towards A Common Speech Analysis Engine

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747768openalex-snapshot

The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747814openalex-snapshot

Large-Scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9747870openalex-snapshot

Speech Emotion Recognition Using Self-Supervised Features

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445740openalex-snapshot

Towards Improving Speech Emotion Recognition Using Synthetic Data Augmentation from Emotion Conversion

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445906openalex-snapshot

Leveraging Speech PTM, Text LLM, And Emotional TTS For Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10445962openalex-snapshot

Zero Shot Audio To Audio Emotion Transfer With Speaker Disentanglement

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446134openalex-snapshot

Comparing data-Driven and Handcrafted Features for Dimensional Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446616openalex-snapshot

TRUST-SER: On The Trustworthiness Of Fine-Tuning Pre-Trained Speech Embeddings For Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446645openalex-snapshot

Enhancing Two-Stage Finetuning for Speech Emotion Recognition Using Adapters

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446812openalex-snapshot

Frame-Level Emotional State Alignment Method for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446974openalex-snapshot

Emotion Neural Transducer for Fine-Grained Speech Emotion Recognition

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/icassp48485.2024.10447060openalex-snapshot

Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447263openalex-snapshot

USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447702openalex-snapshot

Enhancing Pre-Trained ASR System Fine-Tuning for Dysarthric Speech Recognition Using Adversarial Data Augmentation

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447830openalex-snapshot

Multi-Modal Emotion Recognition Using Multiple Acoustic Features and Dual Cross-Modal Transformer

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447923openalex-snapshot

Audio Deepfake Detection With Self-Supervised Wavlm And Multi-Fusion Attentive Classifier

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448044openalex-snapshot

Disentanglement Network: Disentangle the Emotional Features from Acoustic Features for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448130openalex-snapshot

Foundation Model Assisted Automatic Speech Emotion Recognition: Transcribing, Annotating, and Augmenting

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448394openalex-snapshot

GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448505openalex-snapshot

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094673openalex-snapshot

Speech-Based Emotion Recognition with Self-Supervised Models Using Attentive Channel-Wise Correlations and Label Smoothing

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094787openalex-snapshot

Self-Supervised Learning with Bi-Label Masked Speech Prediction for Streaming Multi-Talker Speech Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094839openalex-snapshot

Robust multi-modal speech emotion recognition with ASR error adaptation

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094895openalex-snapshot

Fast Yet Effective Speech Emotion Recognition with Self-Distillation

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095036openalex-snapshot

Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095193openalex-snapshot

Mingling or Misalignment? Temporal Shift for Speech Emotion Recognition with Pre-Trained Representations

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095268openalex-snapshot

Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095294openalex-snapshot

Large-Scale Nonverbal Vocalization Detection Using Transformers

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095566openalex-snapshot

Speech Emotion Recognition via Heterogeneous Feature Learning

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095588openalex-snapshot

Speech Emotion Recognition Via Two-Stream Pooling Attention With Discriminative Channel Weighting

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095798openalex-snapshot

Knowledge-Aware Bayesian Co-Attention for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095926openalex-snapshot

Textless Speech-to-Music Retrieval Using Emotion Similarity

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096196openalex-snapshot

Healthcall Corpus and Transformer Embeddings from Healthcare Customer-Agent Conversations

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096311openalex-snapshot

Parameter Efficient Transfer Learning for Various Speech Processing Tasks

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096395openalex-snapshot

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096552openalex-snapshot

Evaluating Variants of wav2vec 2.0 on Affective Vocal Burst Tasks

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096586openalex-snapshot

Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096757openalex-snapshot

Knowledge Transfer for on-Device Speech Emotion Recognition With Neural Structured Learning

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096808openalex-snapshot

Designing and Evaluating Speech Emotion Recognition Systems: A Reality Check Case Study with IEMOCAP

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096968openalex-snapshot

Pre-Trained Model Representations and Their Robustness Against Noise for Speech Emotion Analysis

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10097110openalex-snapshot

Multilevel Transformer for Multimodal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10097275openalex-snapshot

Exploring Self-Supervised Pre-Trained ASR Models for Dysarthric and Elderly Speech Recognition

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887569openalex-snapshot

Noise-Robust Speech Emotion Recognition Using Shared Self-Supervised Representations with Integrated Speech Enhancement

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889257openalex-snapshot

Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889825openalex-snapshot

Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889878openalex-snapshot

Efficient Finetuning for Dimensional Speech Emotion Recognition in the Age of Transformers

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889881openalex-snapshot

Hybrid Contrastive Learning Decoupling Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889923openalex-snapshot

Learning Rich Speech Representations with Acoustic-Semantic Factorization

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890089openalex-snapshot

Domain-Specific Adaptation in Speech Emotion Recognition Using Emotional Distribution Alignment

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890565openalex-snapshot

Parameter-Efficient Federal-Tuning Enhances Privacy Preserving for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890800openalex-snapshot

Emotion information recovery potential of wav2vec2 network fine-tuned for speech recognition task

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461467openalex-snapshot

Whisper-QF: Leveraging Dual Cross-Attention Q-Former for Speech Emotion Recognition With Multi-Task Learning

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461805openalex-snapshot

Temporal Graph Modeling for Speech Emotion Recognition Using LSTM-Aggregated Multigraph Networks

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11461897openalex-snapshot

Recovering Performance in Speech Emotion Recognition from Discrete Tokens Via Multi-Layer Fusion and Paralinguistic Feature Integration

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464699openalex-snapshot

Stress Prediction from Temporal Emotion Trajectories in Clinical Patient-Physician Conversations

inferred← citeshttps://doi.org/10.1109/icasspw59220.2023.10193018openalex-snapshot

Deep Investigation of Intermediate Representations in Self-Supervised Learning Models for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icasspw59220.2023.10193151openalex-snapshot

A Vector Quantized Masked Autoencoder for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icasspw59220.2023.10193452openalex-snapshot

Specialized Semantic Enrichment of Speech Representations

inferred← citeshttps://doi.org/10.1109/iccbi68589.2026.11619693openalex-snapshot

Affective Speech-to-Speech Chatbot for Context-Aware Human-Machine Interaction

inferred← citeshttps://doi.org/10.1109/iccces62661.2026.11437040openalex-snapshot

Speech Emotion Recognition Using Deep CNN-Bilstm with Attention Mechanism on EMO-DB Dataset

inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10306892openalex-snapshot

Audio Based Facial Expression Generation On Ar Applications

inferred← citeshttps://doi.org/10.1109/iccsp68173.2026.11539250openalex-snapshot

An Interpretable Multi-Feature Emotion Recognition and Fusion Framework for Predicting Market Acceptance Outcomes

inferred← citeshttps://doi.org/10.1109/icctwc68241.2026.11582954openalex-snapshot

Speech-Based Emotion Detection for Mental Health Monitoring: A Machine Learning Approach

inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632547openalex-snapshot

EVA: Emotion-Aware Conversational AI with Personalized Voice for Adolescents

inferred← citeshttps://doi.org/10.1109/icecsp61809.2024.10698081openalex-snapshot

Comparative Analysis of Classifiers using Wav2Vec2.0 Layer Embeddings for Imbalanced Stuttering Datasets

inferred← citeshttps://doi.org/10.1109/icercs63125.2024.10895442openalex-snapshot

Multimodal Analysis for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icesc65114.2025.11212452openalex-snapshot

Development of a Speech-to-Text Emotion and Speaker Recognition System for Individuals with Hearing Impairments

inferred← citeshttps://doi.org/10.1109/ichora69329.2026.11537119openalex-snapshot

Multilingual Speech Emotion Recognition with Self-Supervised Representations and Prototypical Networks

inferred← citeshttps://doi.org/10.1109/icict54344.2022.9850533openalex-snapshot

Emotion Recognition using Nonverbal Cues

inferred← citeshttps://doi.org/10.1109/icict68280.2026.11511111openalex-snapshot

An Effective One-vs-All Bidirectional GRU Framework for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icme55011.2023.00295openalex-snapshot

A Joint Network Based on Interactive Attention for Speech Emotion Recognition

inferred← citeshttps://doi.org/10.1109/icsai57119.2022.10005454openalex-snapshot

Learning a Bimodal Emotion Recognition System Based on Small Amount of Speech Data

inferred← citeshttps://doi.org/10.1109/icscst70031.2026.11709671openalex-snapshot

Multilingual Speech Emotion Recognition for Indian Languages Using Self-Supervised Wav2Vec2 and BiLSTM

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