Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach

No abstract is available for this paper.

• Publication year

  2016

• Venue

  IEEE International Conference on Acoustics, Speech, and Signal Processing

• Publication date

  2016-03-20

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICASSP.2016.7472790
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Predicting Emotion Perception Across Domains: A Study of Singing and Speaking

  2015influential reference
• Recognizing emotion from singing and speaking using shared models

  2015cited by this paper
• Comparing the acoustic expression of emotion in the speaking and the singing voice

  2015cited by this paper
• Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition

  2014cited by this paper
• Speech Emotion Recognition Using Transfer Learning

  2014cited by this paper
• Linked Source and Target Domain Subspace Feature Transfer Learning -- Exemplified by Speech Emotion Recognition

  2014cited by this paper
• The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

  2013cited by this paper
• Acoustic differences in the speaking and singing voice

  2013cited by this paper
• Machine Recognition of Music Emotion: A Review

  2012cited by this paper
• Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote?

  2011cited by this paper
• A Framework for Automatic Human Emotion Classification Using Emotion Profiles

  2011cited by this paper
• Learning with Whom to Share in Multi-task Feature Learning

  2011cited by this paper
• Selecting Training Data for Cross-Corpus Speech Emotion Recognition: Prototypicality vs. Generalization

  2011cited by this paper
• State of the Art Report: Music Emotion Recognition: A State of the Art Review

  2010cited by this paper
• Opensmile: the munich versatile and fast open-source audio feature extractor

  2010cited by this paper
• Emotion Recognition from Speech by Combining Databases and Fusion of Classifiers

  2010cited by this paper
• Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

  2010influential reference
• Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation

  2008cited by this paper
• Recognizing Human Emotional State From Audiovisual Signals

  2008cited by this paper
• Convex multi-task feature learning

  2008cited by this paper
• LIBLINEAR: A Library for Large Linear Classification

  2008cited by this paper
• A Comparative Study of Methods for Transductive Transfer Learning

  2007cited by this paper
• SOPS: Stock Prediction Using Web Sentiment

  2007cited by this paper
• Improving Automatic Emotion Recognition from Speech via Gender Differentiaion

  2006cited by this paper
• Correcting Sample Selection Bias by Unlabeled Data

  2006cited by this paper
• 2005 Special Issue: Emotion recognition in human-computer interaction

  2005cited by this paper
• Toward detecting emotions in spoken dialogs

  2005cited by this paper
• Automatic speech classification to five emotional states based on gender information

  2004cited by this paper
• Vocal communication of emotion: A review of research paradigms

  2003cited by this paper

• Speech Emotion Recognition: A Multimodal Approach Using Multi-Feature Fusion and Self-Attention

  2025cites this paper
• The Use of Data-Based Emotion Recognition Systems for the Development of Emotional and Musical Creativity in Vocal Students

  2025influential citation
• Exploring Emotional Signals: A Study on Audio-based Emotion Classification

  2025cites this paper
• Advanced differential evolution for gender-aware English speech emotion recognition

  2024cites this paper
• Emotion Recognition in Speech Using MFCC and Energy Based Ratio Features

  2024cites this paper
• Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals

  2024cites this paper
• Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations

  2024cites this paper
• Cross-lingual deep learning model for gender-based emotion detection

  2023influential citation
• Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages

  2023cites this paper
• Emotion detection from multilingual audio using deep analysis

  2022cites this paper
• An Urdu speech corpus for emotion recognition

  2022cites this paper
• Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks

  2022cites this paper
• A robust feature selection method based on meta-heuristic optimization for speech emotion recognition

  2022cites this paper
• Emotional speech analysis and classification using variational mode decomposition

  2022cites this paper
• Impact of autoencoder based compact representation on emotion detection from audio

  2021cites this paper
• Subject-Independent Channel and Feature Selection for Emotion Classification Based on EEG Signal: A Multi-Task Approach

  2021cites this paper
• Training Explainable Singing Quality Assessment Network with Augmented Data

  2021cites this paper
• An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition

  2021cites this paper
• Multi-Task Feature Selection for Speech Emotion Recognition: Common Speaker-Independent Features Among Emotions

  2021influential citation
• Emotion Recognition in Singing using Convolutional Neural Networks

  2021cites this paper
• Efficient Feature-Aware Hybrid Model of Deep Learning Architectures for Speech Emotion Recognition

  2021cites this paper
• Bag-of-words from image to speech: a multi-classifier emotions recognition system

  2020cites this paper
• A Review of Generalizable Transfer Learning in Automatic Emotion Recognition

  2020cites this paper
• Speech emotion recognition with deep convolutional neural networks

  2020cites this paper
• An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

  2020cites this paper
• Nonnegative Matrix Factorization Based Transfer Subspace Learning for Cross-Corpus Speech Emotion Recognition

  2020cites this paper
• An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks

  2020cites this paper
• Multi-Modality Emotion Recognition Model with GAT-Based Multi-Head Inter-Modality Attention

  2020cites this paper
• Study on the Multi-Task Model for Legal Judgment Prediction

  2020cites this paper
• Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition

  2020cites this paper
• Speaker independent feature selection for speech emotion recognition: A multi-task approach

  2020influential citation
• Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition

  2020cites this paper
• Understanding the Teaching Styles by an Attention based Multi-task Cross-media Dimensional Modeling

  2019cites this paper
• An Investigation of the Accuracy of Real Time Speech Emotion Recognition

  2019cites this paper
• Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information

  2019cites this paper
• Identifying Mood Episodes Using Dialogue Features from Clinical Interviews

  2019cites this paper
• Speaker to Emotion: Domain Adaptation for Speech Emotion Recognition with Residual Adapters

  2019cites this paper
• DSTL: Solution to Limitation of Small Corpus in Speech Emotion Recognition

  2019cites this paper
• Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition

  2019cites this paper
• Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving Differences

  2019influential citation
• Exploiting social and local contexts propagation for inducing Chinese microblog-specific sentiment lexicons

  2019cites this paper
• An In-Depth Survey of Techniques Employed in Construction of Emotional Lexicon

  2018cites this paper
• Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition

  2018cites this paper
• Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages

  2018cites this paper
• The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

  2018cites this paper
• Joint Transfer Subspace Learning and Feature Selection for Cross-corpus Speech Emotion Recognition

  2018cites this paper
• Predicting Categorical Emotions by Jointly Learning Primary and Secondary Emotions through Multitask Learning

  2018cites this paper
• Fusion of multiple emotion perspectives: Improving affect recognition through integrating cross-lingual emotion information

  2017cites this paper
• Big Data, Deep Learning - At the Edge of X-Ray Speaker Analysis

  2017cites this paper
• Spectrogram based multi-task audio classification

  2017cites this paper
• A bootstrapped multi-view weighted Kernel fusion framework for cross-corpus integration of multimodal emotion recognition

  2017cites this paper
• Cross-corpus Arabic and English emotion recognition

  2017cites this paper
• Learning Transferable Features for Speech Emotion Recognition

  2017cites this paper
• Towards Speech Emotion Recognition "in the Wild" Using Aggregated Corpora and Deep Multi-Task Learning

  2017cites this paper
• Progressive Neural Networks for Transfer Learning in Emotion Recognition

  2017cites this paper
• Automatic recognition of self-reported and perceived emotion: does joint modeling help?

  2016cites this paper
• Improving the generalizability of emotion recognition systems: towards emotion recognition in the wild

  2016cites this paper
• SPEECH EMOTION RECOGNITION SYSTEM PERFORMANCE ANALYSIS WITH OPTIMIZED FEATURES USING DIFFERENT CLASSIFICATION ALGORITHMS

  year unknowncites this paper