C. Busso

发表

Voice Activity Detection with Teacher-Student Domain Emulation

D. Fulford, Jarrod Luckenbaugh, S. Abplanalp, 2021, Interspeech.

Smartphone sensing of social interactions in people with and without schizophrenia.

J. Onnela, D. Fulford, Jarrod Luckenbaugh, 2020, Journal of psychiatric research.

Assessment of driver's distraction using perceptual evaluations, self assessments and multimodal feature analysis

Jinesh J. Jain, C. Busso, 2011 .

Dynamic versus Static Facial Expressions in the Presence of Speech

Ali N. Salman, C. Busso, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Speech Communication Speech-Driven Animation with Meaningful Behaviors

C. Busso, Najmeh Sadoughi, 2019 .

Driver Modeling for Detection & Assessment of Distraction : Examples from the UTDrive testbed

C. Busso, A. Sathyanarayana, J. Hansen, 2017 .

Recording audio-visual emotional databases from actors : a closer look

Shrikanth S. Narayanan, C. Busso, 2008 .

Head Motion Generation

Carlos Busso, Najmeh Sadoughi, C. Busso, 2016 .

Not All Features are Equal: Selection of Robust Features for Speech Emotion Recognition in Noisy Environments

J. Onnela, D. Fulford, David E Gard, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Speech Emotion Recognition Using Self-Supervised Learning with Domain-Specific Audiovisual Tasks

C. Busso, Lucas Goncalves, 2022, INTERSPEECH.

Mixed Emotion Modelling for Emotional Voice Conversion

Haizhou Li, C. Busso, Berrak Sisman, 2022, ArXiv.

Exploiting Annotators’ Typed Description of Emotion Perception to Maximize Utilization of Ratings for Speech Emotion Recognition

Chi-Chun Lee, C. Busso, Huang-Cheng Chou, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations

Shrikanth S. Narayanan, Chi-Chun Lee, C. Busso, 2015, Language Resources and Evaluation.

Monologue versus Conversation: Differences in Emotion Perception and Acoustic Expressivity

Chi-Chun Lee, C. Busso, Wei-Cheng Lin, 2022, 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).

Face detection and grimace scale prediction of white furred mice

S. Jha, C. Busso, S. Hassler, 2022, Machine Learning with Applications.

Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks pdf

Carlos Busso, Najmeh Sadoughi, C. Busso, 2018, IEEE Transactions on Affective Computing.

Speech-driven Animation with Meaningful Behaviors

Carlos Busso, Najmeh Sadoughi, C. Busso, 2017, Speech Commun..

Lexical Dependent Emotion Detection Using Synthetic Speech Reference

Reza Lotfian, Carlos Busso, C. Busso, 2019, IEEE Access.

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

Björn W. Schuller, Carlos Busso, Johan Sundberg, 2016, IEEE Transactions on Affective Computing.

Speech in Affective Computing

Shrikanth Narayanan, Carlos Busso, Angeliki Metallinou, 2015 .

Evaluation of syllable rate estimation in expressive speech and its contribution to emotion recognition

Carlos Busso, Mohammed Abdel-Wahab, C. Busso, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

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

Carlos Busso, Néstor Becerra Yoma, Juan Pablo Arias, 2014, Comput. Speech Lang..

Audiovisual corpus to analyze whisper speech

Carlos Busso, Soroosh Mariooryad, Tam Tran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Energy and F0 contour modeling with functional data analysis for emotional speech detection

Carlos Busso, Néstor Becerra Yoma, Juan Pablo Arias, 2013, INTERSPEECH.

Generating Human-Like Behaviors Using Joint, Speech-Driven Models for Conversational Agents

Carlos Busso, Soroosh Mariooryad, C. Busso, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Analysis of Emotionally Salient Aspects of Fundamental Frequency for Emotion Detection

Carlos Busso, Shrikanth S. Narayanan, Sungbok Lee, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Learning Expressive Human-Like Head Motion Sequences from Speech

Shrikanth Narayanan, Zhigang Deng, Carlos Busso, 2008 .

Joint Analysis of the Emotional Fingerprint in the Face and Speech: A single subject study

Carlos Busso, Shrikanth S. Narayanan, C. Busso, 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

Interrelation Between Speech and Facial Gestures in Emotional Utterances: A Single Subject Study

Carlos Busso, Shrikanth S. Narayanan, C. Busso, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Rigid Head Motion in Expressive Speech Animation: Analysis and Synthesis

Zhigang Deng, Carlos Busso, Ulrich Neumann, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Analysis of emotion recognition using facial expressions, speech and multimodal information

Zhigang Deng, Carlos Busso, Ulrich Neumann, 2004, ICMI '04.

IEMOCAP: interactive emotional dyadic motion capture database

Carlos Busso, Shrikanth S. Narayanan, Murtaza Bulut, 2008, Lang. Resour. Evaluation.

Curriculum Learning for Speech Emotion Recognition From Crowdsourced Labels

Reza Lotfian, Carlos Busso, C. Busso, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Emotion recognition using a hierarchical binary decision tree approach

Carlos Busso, Shrikanth S. Narayanan, Chi-Chun Lee, 2011, Speech Commun..

Interpreting ambiguous emotional expressions

Carlos Busso, Angeliki Metallinou, Shrikanth S. Narayanan, 2009, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops.

Active Learning for Speech Emotion Recognition Using Deep Neural Network

Carlos Busso, Mohammed Abdelwahab, C. Busso, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII).

End-to-End Audiovisual Speech Recognition System With Multitask Learning

Carlos Busso, Fei Tao, C. Busso, 2021, IEEE Transactions on Multimedia.

Toward Effective Automatic Recognition Systems of Emotion in Speech

Shrikanth Narayanan, Carlos Busso, Shrikanth S. Narayanan, 2014 .

Machine-Learning Assisted Discrimination of Precancerous and Cancerous from Healthy Oral Tissue Based on Multispectral Autofluorescence Lifetime Imaging Endoscopy

John M. Wright, V. Yakovlev, C. Busso, 2021, Cancers.

A real-time protocol for the Internet based on the least mean square algorithm

Carlos Busso, Néstor Becerra Yoma, Juan Hood, 2004, IEEE Transactions on Multimedia.

The Ordinal Nature of Emotions: An Emerging Approach

Carlos Busso, Georgios N. Yannakakis, Roddy Cowie, 2018, IEEE Transactions on Affective Computing.

The ordinal nature of emotions

Carlos Busso, Georgios N. Yannakakis, Roddy Cowie, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Using Agreement on Direction of Change to Build Rank-Based Emotion Classifiers

Carlos Busso, Roddy Cowie, Srinivas Parthasarathy, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

MINIFLOAT: A Novel Concept of Minimal Floating Platform for Marginal Field Development

Dominique Roddier, Christian Cermelli, C. C. Busso, 2004 .

Multimodal Behavior Modeling for Socially Interactive Agents

Dirk Heylen, Carlos Busso, Catherine Pelachaud, 2021, The Handbook on Socially Interactive Agents.

Role of Regularization in the Prediction of Valence from Speech

Carlos Busso, Kusha Sridhar, Srinivas Parthasarathy, 2018, INTERSPEECH.

The Ambiguous World of Emotion Representation pdf

Shrikanth Narayanan, Carlos Busso, Shrikanth S. Narayanan, 2019, ArXiv.

Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning

Carlos Busso, Srinivas Parthasarathy, Srinivas Parthasarathy, 2017, INTERSPEECH.

Predicting Arousal , Valence and Dominance with MultiTask Learning

Carlos Busso, Srinivas Parthasarathy, Srinivas Parthasarathy, 2017 .

The Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier

Carlos Busso, Soroosh Mariooryad, C. Busso, 2017, IEEE Transactions on Affective Computing.

Increasing the Reliability of Crowdsourcing Evaluations Using Online Quality Assessment

Carlos Busso, Srinivas Parthasarathy, Alec Burmania, 2016, IEEE Transactions on Affective Computing.

Correcting Time-Continuous Emotional Labels by Modeling the Reaction Lag of Evaluators

Carlos Busso, Soroosh Mariooryad, C. Busso, 2015, IEEE Transactions on Affective Computing.

Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features

Carlos Busso, Nanxiang Li, C. Busso, 2015, IEEE Transactions on Intelligent Transportation Systems.

End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models pdf

Carlos Busso, Fei Tao, C. Busso, 2018, Speech Commun..

Bimodal Recurrent Neural Network for Audiovisual Voice Activity Detection

Carlos Busso, Fei Tao, C. Busso, 2017, INTERSPEECH.

AuxFormer: Robust Approach to Audiovisual Emotion Recognition

C. Busso, Lucas Goncalves, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Gating Neural Network for Large Vocabulary Audiovisual Speech Recognition

Carlos Busso, Fei Tao, C. Busso, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Carlos Busso, Reza Lotfian, C. Busso, 2019, IEEE Transactions on Affective Computing.

Versatile Audio-Visual Learning for Handling Single and Multi Modalities in Emotion Regression and Classification Tasks

C. Busso, Berrak Sisman, Seong-Gyun Leem, 2023, ArXiv.

Privacy Preserving Personalization for Video Facial Expression Recognition Using Federated Learning

Ali N. Salman, C. Busso, 2022, ICMI.

Robust Audiovisual Emotion Recognition: Aligning Modalities, Capturing Temporal Information, and Handling Missing Features

C. Busso, Lucas Goncalves, 2022, IEEE Transactions on Affective Computing.

Exploiting Co-occurrence Frequency of Emotions in Perceptual Evaluations To Train A Speech Emotion Classifier

Chi-Chun Lee, C. Busso, Huang-Cheng Chou, 2022, INTERSPEECH.

Aligning Audiovisual Features for Audiovisual Speech Recognition

Carlos Busso, Fei Tao, C. Busso, 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).

MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception

Carlos Busso, Emily Mower Provost, Srinivas Parthasarathy, 2017, IEEE Transactions on Affective Computing.

Study of Dense Network Approaches for Speech Emotion Recognition

Carlos Busso, Mohammed Abdel-Wahab, C. Busso, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions

J. Onnela, D. Fulford, David E Gard, 2021, Interspeech.

Semi-Supervised Speech Emotion Recognition With Ladder Networks

Carlos Busso, Srinivas Parthasarathy, Srinivas Parthasarathy, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

UMEME: University of Michigan Emotional McGurk Effect Data Set

Carlos Busso, Emily Mower Provost, Yuan Shangguan, 2015, IEEE Transactions on Affective Computing.

Exploring Cross-Modality Affective Reactions for Audiovisual Emotion Recognition

Carlos Busso, Soroosh Mariooryad, C. Busso, 2013, IEEE Transactions on Affective Computing.

Modeling mutual influence of interlocutor emotion states in dyadic spoken interactions

Carlos Busso, Shrikanth S. Narayanan, Chi-Chun Lee, 2009, INTERSPEECH.

Generative Approach Using Soft-Labels to Learn Uncertainty in Predicting Emotional Attributes *

Carlos Busso, Kusha Sridhar, Wei-Cheng Lin, 2021, 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII).

Deepemocluster: a Semi-Supervised Framework for Latent Cluster Representation of Speech Emotions

Carlos Busso, Kusha Sridhar, Wei-Cheng Lin, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Chunk-Level Speech Emotion Recognition: A General Framework of Sequence-to-One Dynamic Temporal Modeling

Carlos Busso, Wei-Cheng Lin, C. Busso, 2021, IEEE Transactions on Affective Computing.

Speech Emotion Recognition with a Reject Option

Carlos Busso, Kusha Sridhar, C. Busso, 2019, INTERSPEECH.

Formulating emotion perception as a probabilistic model with application to categorical emotion classification

Reza Lotfian, Carlos Busso, C. Busso, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes

Carlos Busso, Srinivas Parthasarathy, Srinivas Parthasarathy, 2018, INTERSPEECH.

Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities

Carlos Busso, Chi-Chun Lee, Kusha Sridhar, 2021, IEEE Signal Processing Magazine.

Style Extractor For Facial Expression Recognition in the Presence of Speech

Carlos Busso, Ali N. Salman, C. Busso, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Learning Cross-Modal Audiovisual Representations with Ladder Networks for Emotion Recognition

C. Busso, Lucas Goncalves, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Efficient Temporal Modeling Approach for Speech Emotion Recognition by Mapping Varied Duration Sentences into Fixed Number of Chunks

Carlos Busso, Wei-Cheng Lin, C. Busso, 2020, INTERSPEECH.

Predicting Categorical Emotions by Jointly Learning Primary and Secondary Emotions through Multitask Learning

Reza Lotfian, Carlos Busso, C. Busso, 2018, INTERSPEECH.

Ranking emotional attributes with deep neural networks

Reza Lotfian, Carlos Busso, Srinivas Parthasarathy, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Facial Expression Recognition in the Presence of Speech Using Blind Lexical Compensation

Carlos Busso, Soroosh Mariooryad, C. Busso, 2016, IEEE Transactions on Affective Computing.

Interplay between linguistic and affective goals in facial expression during emotional utterances

Shrikanth Narayanan, Carlos Busso, Shrikanth S. Narayanan, 2006 .

An acoustic study of emotions expressed in speech

Zhigang Deng, Carlos Busso, Shrikanth S. Narayanan, 2004, INTERSPEECH.

The MSP-Conversation Corpus

Carlos Busso, Luz Martinez-Lucas, Mohammed Abdelwahab, 2020, INTERSPEECH.

Modeling Uncertainty in Predicting Emotional Attributes from Spontaneous Speech

Carlos Busso, Kusha Sridhar, C. Busso, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Domain Adversarial for Acoustic Emotion Recognition

Carlos Busso, Mohammed Abdelwahab, C. Busso, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Natural head motion synthesis driven by acoustic prosodic features

Zhigang Deng, Carlos Busso, Ulrich Neumann, 2005, Comput. Animat. Virtual Worlds.

Compensating for speaker or lexical variabilities in speech for emotion recognition

Carlos Busso, Soroosh Mariooryad, C. Busso, 2014, Speech Commun..

Retrieving Speech Samples with Similar Emotional Content Using a Triplet Loss Function

Reza Lotfian, Carlos Busso, Mohammed Abdel-Wahab, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Novel Realizations of Speech-Driven Head Movements with Generative Adversarial Networks

Carlos Busso, Najmeh Sadoughi, C. Busso, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations

Carlos Busso, Angeliki Metallinou, Shrikanth S. Narayanan, 2015, Language Resources and Evaluation.

MSP-AVATAR corpus: Motion capture recordings to study the role of discourse functions in the design of intelligent virtual agents

Yang Liu, Carlos Busso, Najmeh Sadoughi, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Scripted dialogs versus improvisation: lessons learned about emotional elicitation techniques from the IEMOCAP database

Carlos Busso, Shrikanth S. Narayanan, C. Busso, 2008, INTERSPEECH.

Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection

C. Busso, K. Akash, Teruhisa Misu, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimation of Driver’s Gaze Region From Head Position and Orientation Using Probabilistic Confidence Regions

S. Jha, C. Busso, 2020, IEEE Transactions on Intelligent Vehicles.

Predicting speaker recognition reliability by considering emotional content

Carlos Busso, Srinivas Parthasarathy, Srinivas Parthasarathy, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Emotion recognition based on phoneme classes

Zhigang Deng, Carlos Busso, Shrikanth S. Narayanan, 2004, INTERSPEECH.

Iterative feature normalization for emotional speech detection

Carlos Busso, Angeliki Metallinou, Shrikanth S. Narayanan, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Meaningful head movements driven by emotional synthetic speech

Yang Liu, Carlos Busso, Najmeh Sadoughi, 2017, Speech Commun..

Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions

Carlos Busso, Sumit Kumar Jha, Tiancheng Hu, 2021, IEEE Transactions on Intelligent Transportation Systems.

Detecting Drivers' Mirror-Checking Actions and Its Application to Maneuver and Secondary Task Recognition

Carlos Busso, Nanxiang Li, C. Busso, 2016, IEEE Transactions on Intelligent Transportation Systems.

Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition

Carlos Busso, Kusha Sridhar, C. Busso, 2020, INTERSPEECH.

Analysis and Compensation of the Reaction Lag of Evaluators in Continuous Emotional Annotations

Carlos Busso, Soroosh Mariooryad, C. Busso, 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

Analysis of facial features of drivers under cognitive and visual distractions

Carlos Busso, Nanxiang Li, C. Busso, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Audio-based head motion synthesis for Avatar-based telepresence systems

Zhigang Deng, Carlos Busso, Ulrich Neumann, 2004, ETP '04.

Quantifying Emotional Similarity in Speech

C. Busso, Seong-Gyun Leem, Reza Lotfian, 2023, IEEE Transactions on Affective Computing.

Using Perceptual Evaluation to Quantify Cognitive and Visual Driver Distractions

Carlos Busso, Nanxiang Li, C. Busso, 2014, Smart Mobile In-Vehicle Systems.

Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech

C. Busso, K. Sridhar, 2022, IEEE Transactions on Affective Computing.

MSP-Face Corpus: A Natural Audiovisual Emotional Database

Carlos Busso, Andrea Vidal, Wei-Cheng Lin, 2020, ICMI.

A Stepwise Analysis of Aggregated Crowdsourced Labels Describing Multimodal Emotional Behaviors

Carlos Busso, Alec Burmania, C. Busso, 2017, INTERSPEECH.

A Portable Automatic PA-TA-KA Syllable Detection System to Derive Biomarkers for Neurological Disorders

Christian Poellabauer, Sandra L. Schneider, Carlos Busso, 2016, INTERSPEECH.

Challenges in Concussion Detection Using Vocal Acoustic Biomarkers

Christian Poellabauer, Sandra L. Schneider, Carlos Busso, 2015, IEEE Access.

Driving Anomaly Detection Using Conditional Generative Adversarial Network

C. Busso, Teruhisa Misu, Yuning Qiu, 2022, ArXiv.

Using neutral speech models for emotional speech analysis

Carlos Busso, Shrikanth S. Narayanan, Sungbok Lee, 2007, INTERSPEECH.

Investigating the role of phoneme-level modifications in emotional speech resynthesis

Carlos Busso, Shrikanth S. Narayanan, Murtaza Bulut, 2005, INTERSPEECH.

Adapting a Self-Supervised Speech Representation for Noisy Speech Emotion Recognition by Using Contrastive Teacher-Student Learning

J. Onnela, D. Fulford, David E Gard, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters

J. Onnela, D. Fulford, David E Gard, 2023 .

Deferred shadowing for real-time rendering of dynamic scenes under environment illumination: Image, Colour and Illumination in Animation

Shrikanth S. Narayanan, Z. Deng, U. Neumann, 2005 .

A personalized emotion recognition system using an unsupervised feature adaptation scheme

Carlos Busso, Tauhidur Rahman, C. Busso, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Supervised domain adaptation for emotion recognition from speech

Carlos Busso, Mohammed Abdel-Wahab, C. Busso, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors

Carlos Busso, Nanxiang Li, Jinesh J. Jain, 2013, IEEE Transactions on Multimedia.

Smart room: participant and speaker localization and identification

Carlos Busso, Panayiotis G. Georgiou, Shrikanth S. Narayanan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Role of Lexical Boundary Information in Chunk-Level Segmentation for Speech Emotion Recognition

C. Busso, Wei-Cheng Lin, 2023, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Unsupervised Scalable Multimodal Driving Anomaly Detection

C. Busso, Teruhisa Misu, Yuning Qiu, 2023, IEEE Transactions on Intelligent Vehicles.

Feature and model level compensation of lexical content for facial emotion recognition

Carlos Busso, Soroosh Mariooryad, C. Busso, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps pdf

Ketan Mayer-Patel, Ramesh C. Jain, Klara Nahrstedt, 2019, ArXiv.

Multimodal attention for lip synthesis using conditional generative adversarial networks

C. Busso, Andrea Vidal, 2023, Speech Communication.

Example-Based Query To Identify Causes of Driving Anomaly with Few Labeled Samples

C. Busso, Teruhisa Misu, Yuning Qiu, 2023, 2023 IEEE Intelligent Vehicles Symposium (IV).

Use of Triplet-Loss Function to Improve Driving Anomaly Detection Using Conditional Generative Adversarial Network

Carlos Busso, Yuning Qiu, Teruhisa Misu, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data

Carlos Busso, Yuning Qiu, Teruhisa Misu, 2019, ICMI.

Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study

Carlos Busso, Yuning Qiu, Teruhisa Misu, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Visual emotion recognition using compact facial representations and viseme information

Carlos Busso, Angeliki Metallinou, Shrikanth S. Narayanan, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Expressive Speech-Driven Lip Movements with Multitask Learning

Carlos Busso, Najmeh Sadoughi, C. Busso, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Joint Learning of Speech-Driven Facial Motion with Bidirectional Long-Short Term Memory

Carlos Busso, Najmeh Sadoughi, C. Busso, 2017, IVA.

The USC Creative IT Database: A Multimodal Database of Theatrical Improvisation

Shrikanth Narayanan, Carlos Busso, Angeliki Metallinou, 2010 .

Discriminative Features for Texture Retrieval Using Wavelet Packets

Carlos Busso, Andrea Vidal, Jorge F. Silva, 2019, IEEE Access.

Robust Driver Head Pose Estimation in Naturalistic Conditions from Point-Cloud Data

Carlos Busso, Sumit Jha, Tiancheng Hu, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Probabilistic Estimation of the Gaze Region of the Driver using Dense Classification

Carlos Busso, Sumit Jha, S. Jha, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Probabilistic estimation of the driver's gaze from head orientation and position

Carlos Busso, Sumit Jha, S. Jha, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Driver Visual Attention Estimation Using Head Pose and Eye Appearance Information

Sumit Kumar Jha, N. Al-Dhahir, C. Busso, 2023, IEEE Open Journal of Intelligent Transportation Systems.

Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features

Carlos Busso, Yang Liu, Srinivas Parthasarathy, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Distant Speech Emotion Recognition in an Indoor Human-robot Interaction Scenario

C. Busso, R. Mahú, Eduardo Alvarado, 2023, INTERSPEECH 2023.

Analyzing the relationship between head pose and gaze to model driver visual attention

Carlos Busso, Sumit Jha, S. Jha, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Assessment and classification of singing quality based on audio-visual features

John H. L. Hansen, Carlos Busso, Fei Tao, 2017, 2017 IEEE Visual Communications and Image Processing (VCIP).

DialogueEIN: Emotional Interaction Network for Emotion Recognition in Conversations

Hazem M. Hajj, Hannah Rashkin, Soujanya Poria, 2022 .

Smartphone sensing of social interactions in people with and without schizophrenia.

J. Onnela, D. Fulford, Jarrod Luckenbaugh, 2020, Journal of psychiatric research.