Audio Analytics

Publications

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- Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model
  
  Ali Vosoughi, Hannes Gamper, Dimitra Emmanouilidou
  
  Proc. Eur. Signal Process. Conf. (EUSIPCO) | September 2025
  
  Editor(s): ISBN: 978-9-46-459362-4
  
  PDF Publication
- Exploring cross-dataset generalization of Speech Emotion Recognition models
  
  Dimitra Emmanouilidou
  
  J. Acoust. Soc. Am. | May 2025, Vol 157: pp. A76-A77
  
  ISBN: 978-9-46-459362-4
  
  Publication
- Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
  
  Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou, Hannes Gamper, Dimitra Emmanouilidou, Hannes Gamper
  
  2025 IEEE International Conference on Multimedia and Expo (ICME) | September 2024, pp. 1-6
  
  DOI Publication PDF
- Domain mismatch and data augmentation in speech emotion recognition
  
  Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
  
  SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
  
  Publication
- Multi-label audio classification with a noisy zero-shot teacher
  
  Sebastian Braun, Hannes Gamper
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2024
  
  Publication
- Multi-View Learning for Speech Emotion Recognition
  
  Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
  
  International Conference on Acoustics, Speech and Signal Processing | June 2023
  
  Publication
- Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
  
  Sandeep Kothinti, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | May 2023
  
  Publication
- Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
  
  Wei-Cheng Lin, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | August 2022
  
  Publication
- Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
  
  Benjamin Elizalde, Dimitra Emmanouilidou
  
  Proc. Mtgs. Acoust | December 2021
  
  DOI
- Audio-Based SPAM Call Detection
  
  Benjamin M Elizalde , Dimitra Emmanouilidou
  
  The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
  
  Acoustical Society of America
  
  Publication DOI
- Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
  
  Midia Yousefi, Dimitra Emmanouilidou
  
  2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
  
  Publication Video
- Sentiment Detection from Speech Recognition Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  Engineering Sciences | July 2020, Vol LVII(2)
  
  Publication
- Supervised Deep Hashing for Efficient Audio Event Retrieval
  
  Arindam Jati, Dimitra Emmanouilidou
  
  2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
  
  PDF DOI Video
- Sentiment Detection from ASR Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  International Conference on Information Technologies | September 2019
  
  Publication
- The effect of room acoustics on audio event classification
  
  Dimitra Emmanouilidou, Hannes Gamper
  
  Proc. 23rd International Congress on Acoustics (ICA) | September 2019
  
  PDF
- CURE Dataset: Ladder Networks for Audio Event Classification
  
  Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
  
  2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
  
  PDF
- Acoustic and Lexical Sentiment Analysis for Customer Service Calls
  
  Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke
  
  ICASSP | May 2019
  
  Publication
- Convolutional Neural Network Techniques for Speech Emotion Recognition
  
  Srinivas Parthasarathy, Ivan Tashev
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2018
  
  Publication
- Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks
  
  Zhong-Qiu Wang, Ivan Tashev
  
  Proc. ICASSP | March 2017
  
  Publication
- Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks
  
  Ivan Tashev, Zhong-Qiu Wang, Keith Godin
  
  Proc. ITA | February 2017
  
  Publication
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine
  
  Kun Han, Dong Yu, Ivan Tashev
  
  Interspeech 2014 | September 2014
  
  Publication
- A New Speaker Identification Algorithm for Gaming Scenarios
  
  Hoang Do, Ivan Tashev, Alex Acero
  
  ICASSP | May 2011
  
  Publication

- Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model
  
  Ali Vosoughi, Hannes Gamper, Dimitra Emmanouilidou
  
  Proc. Eur. Signal Process. Conf. (EUSIPCO) | September 2025
  
  Editor(s): ISBN: 978-9-46-459362-4
  
  PDF Publication
- Exploring cross-dataset generalization of Speech Emotion Recognition models
  
  Dimitra Emmanouilidou
  
  J. Acoust. Soc. Am. | May 2025, Vol 157: pp. A76-A77
  
  ISBN: 978-9-46-459362-4
  
  Publication
- Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
  
  Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou, Hannes Gamper, Dimitra Emmanouilidou, Hannes Gamper
  
  2025 IEEE International Conference on Multimedia and Expo (ICME) | September 2024, pp. 1-6
  
  DOI Publication PDF
- Domain mismatch and data augmentation in speech emotion recognition
  
  Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
  
  SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
  
  Publication
- Multi-label audio classification with a noisy zero-shot teacher
  
  Sebastian Braun, Hannes Gamper
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2024
  
  Publication
- Multi-View Learning for Speech Emotion Recognition
  
  Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
  
  International Conference on Acoustics, Speech and Signal Processing | June 2023
  
  Publication
- Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
  
  Sandeep Kothinti, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | May 2023
  
  Publication
- Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
  
  Wei-Cheng Lin, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | August 2022
  
  Publication
- Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
  
  Benjamin Elizalde, Dimitra Emmanouilidou
  
  Proc. Mtgs. Acoust | December 2021
  
  DOI
- Audio-Based SPAM Call Detection
  
  Benjamin M Elizalde , Dimitra Emmanouilidou
  
  The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
  
  Acoustical Society of America
  
  Publication DOI
- Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
  
  Midia Yousefi, Dimitra Emmanouilidou
  
  2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
  
  Publication Video
- Sentiment Detection from Speech Recognition Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  Engineering Sciences | July 2020, Vol LVII(2)
  
  Publication
- Supervised Deep Hashing for Efficient Audio Event Retrieval
  
  Arindam Jati, Dimitra Emmanouilidou
  
  2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
  
  PDF DOI Video
- Sentiment Detection from ASR Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  International Conference on Information Technologies | September 2019
  
  Publication
- The effect of room acoustics on audio event classification
  
  Dimitra Emmanouilidou, Hannes Gamper
  
  Proc. 23rd International Congress on Acoustics (ICA) | September 2019
  
  PDF
- CURE Dataset: Ladder Networks for Audio Event Classification
  
  Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
  
  2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
  
  PDF
- Convolutional Neural Network Techniques for Speech Emotion Recognition
  
  Srinivas Parthasarathy, Ivan Tashev
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2018
  
  Publication
- Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks
  
  Zhong-Qiu Wang, Ivan Tashev
  
  Proc. ICASSP | March 2017
  
  Publication
- Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks
  
  Ivan Tashev, Zhong-Qiu Wang, Keith Godin
  
  Proc. ITA | February 2017
  
  Publication
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine
  
  Kun Han, Dong Yu, Ivan Tashev
  
  Interspeech 2014 | September 2014
  
  Publication
- A New Speaker Identification Algorithm for Gaming Scenarios
  
  Hoang Do, Ivan Tashev, Alex Acero
  
  ICASSP | May 2011
  
  Publication
- Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
  
  Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou, Hannes Gamper, Dimitra Emmanouilidou, Hannes Gamper
  
  2025 IEEE International Conference on Multimedia and Expo (ICME) | September 2024, pp. 1-6
  
  DOI Publication PDF
- Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks
  
  Zhong-Qiu Wang, Ivan Tashev
  
  Proc. ICASSP | March 2017
  
  Publication
- Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks
  
  Ivan Tashev, Zhong-Qiu Wang, Keith Godin
  
  Proc. ITA | February 2017
  
  Publication
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine
  
  Kun Han, Dong Yu, Ivan Tashev
  
  Interspeech 2014 | September 2014
  
  Publication
- Sentiment Detection from Speech Recognition Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  Engineering Sciences | July 2020, Vol LVII(2)
  
  Publication
- Acoustic and Lexical Sentiment Analysis for Customer Service Calls
  
  Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke
  
  ICASSP | May 2019
  
  Publication
- Sentiment Detection from ASR Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  International Conference on Information Technologies | September 2019
  
  Publication
- CURE Dataset: Ladder Networks for Audio Event Classification
  
  Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
  
  2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
  
  PDF
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- Sentiment Detection from ASR Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  International Conference on Information Technologies | September 2019
  
  Publication
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- A New Speaker Identification Algorithm for Gaming Scenarios
  
  Hoang Do, Ivan Tashev, Alex Acero
  
  ICASSP | May 2011
  
  Publication
- CURE Dataset: Ladder Networks for Audio Event Classification
  
  Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
  
  2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
  
  PDF
- A New Speaker Identification Algorithm for Gaming Scenarios
  
  Hoang Do, Ivan Tashev, Alex Acero
  
  ICASSP | May 2011
  
  Publication

- Exploring cross-dataset generalization of Speech Emotion Recognition models
  
  Dimitra Emmanouilidou
  
  J. Acoust. Soc. Am. | May 2025, Vol 157: pp. A76-A77
  
  ISBN: 978-9-46-459362-4
  
  Publication
- Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
  
  Yuanchao Li, Azalea Gui, Dimitra Emmanouilidou, Hannes Gamper, Dimitra Emmanouilidou, Hannes Gamper
  
  2025 IEEE International Conference on Multimedia and Expo (ICME) | September 2024, pp. 1-6
  
  DOI Publication PDF
- Audio-Based SPAM Call Detection
  
  Benjamin M Elizalde , Dimitra Emmanouilidou
  
  The Journal of the Acoustical Society of America | December 2021, Vol 150(4): pp. A357-A357
  
  Acoustical Society of America
  
  Publication DOI
- Sentiment Detection from Speech Recognition Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  Engineering Sciences | July 2020, Vol LVII(2)
  
  Publication
- Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model
  
  Ali Vosoughi, Hannes Gamper, Dimitra Emmanouilidou
  
  Proc. Eur. Signal Process. Conf. (EUSIPCO) | September 2025
  
  Editor(s): ISBN: 978-9-46-459362-4
  
  PDF Publication
- Domain mismatch and data augmentation in speech emotion recognition
  
  Dimitra Emmanouilidou, Hannes Gamper, Midia Yousefi
  
  SMM24, Interspeech Workshop on Speech, Music and Mind 2024 | September 2024
  
  Publication
- Multi-label audio classification with a noisy zero-shot teacher
  
  Sebastian Braun, Hannes Gamper
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2024
  
  Publication
- Multi-View Learning for Speech Emotion Recognition
  
  Daniel Tompkins, Dimitra Emmanouilidou, Soham Deshmukh, Benjamin Elizalde
  
  International Conference on Acoustics, Speech and Signal Processing | June 2023
  
  Publication
- Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics
  
  Sandeep Kothinti, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | May 2023
  
  Publication
- Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations
  
  Wei-Cheng Lin, Dimitra Emmanouilidou
  
  European Signal Processing Conference (EUSIPCO) | August 2022
  
  Publication
- Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails
  
  Benjamin Elizalde, Dimitra Emmanouilidou
  
  Proc. Mtgs. Acoust | December 2021
  
  DOI
- Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network
  
  Midia Yousefi, Dimitra Emmanouilidou
  
  2021 29th European Signal Processing Conference (EUSIPCO) | August 2021
  
  Publication Video
- Supervised Deep Hashing for Efficient Audio Event Retrieval
  
  Arindam Jati, Dimitra Emmanouilidou
  
  2020 International Conference on Acoustics, Speech, and Signal Processing | May 2020
  
  PDF DOI Video
- Sentiment Detection from ASR Output
  
  Ivan Tashev, Dimitra Emmanouilidou
  
  International Conference on Information Technologies | September 2019
  
  Publication
- The effect of room acoustics on audio event classification
  
  Dimitra Emmanouilidou, Hannes Gamper
  
  Proc. 23rd International Congress on Acoustics (ICA) | September 2019
  
  PDF
- CURE Dataset: Ladder Networks for Audio Event Classification
  
  Harishchandra Dubey, Dimitra Emmanouilidou, Ivan Tashev
  
  2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim) | August 2019
  
  PDF
- Acoustic and Lexical Sentiment Analysis for Customer Service Calls
  
  Bryan Li, Dimitrios Dimitriadis, Andreas Stolcke
  
  ICASSP | May 2019
  
  Publication
- Convolutional Neural Network Techniques for Speech Emotion Recognition
  
  Srinivas Parthasarathy, Ivan Tashev
  
  International Workshop on Acoustic Signal Enhancement (IWAENC) | September 2018
  
  Publication
- Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks
  
  Zhong-Qiu Wang, Ivan Tashev
  
  Proc. ICASSP | March 2017
  
  Publication
- Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks
  
  Ivan Tashev, Zhong-Qiu Wang, Keith Godin
  
  Proc. ITA | February 2017
  
  Publication
- High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition
  
  Jinkyu Lee, Ivan Tashev
  
  Interspeech 2015 | September 2015
  
  Publication
- Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine
  
  Kun Han, Dong Yu, Ivan Tashev
  
  Interspeech 2014 | September 2014
  
  Publication
- A New Speaker Identification Algorithm for Gaming Scenarios
  
  Hoang Do, Ivan Tashev, Alex Acero
  
  ICASSP | May 2011
  
  Publication

Audio Analytics

Publications

Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model

Exploring cross-dataset generalization of Speech Emotion Recognition models

Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance

Domain mismatch and data augmentation in speech emotion recognition

Multi-label audio classification with a noisy zero-shot teacher

Multi-View Learning for Speech Emotion Recognition

Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics

Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations

Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails

Audio-Based SPAM Call Detection

Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network

Sentiment Detection from Speech Recognition Output

Supervised Deep Hashing for Efficient Audio Event Retrieval

Sentiment Detection from ASR Output

The effect of room acoustics on audio event classification

CURE Dataset: Ladder Networks for Audio Event Classification

Acoustic and Lexical Sentiment Analysis for Customer Service Calls

Convolutional Neural Network Techniques for Speech Emotion Recognition

Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks

Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks

High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition

Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine

A New Speaker Identification Algorithm for Gaming Scenarios

Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model

Exploring cross-dataset generalization of Speech Emotion Recognition models

Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance

Domain mismatch and data augmentation in speech emotion recognition

Multi-label audio classification with a noisy zero-shot teacher

Multi-View Learning for Speech Emotion Recognition

Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics

Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations

Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails

Audio-Based SPAM Call Detection

Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network

Sentiment Detection from Speech Recognition Output

Supervised Deep Hashing for Efficient Audio Event Retrieval

Sentiment Detection from ASR Output

The effect of room acoustics on audio event classification

CURE Dataset: Ladder Networks for Audio Event Classification

Convolutional Neural Network Techniques for Speech Emotion Recognition

Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks

Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks

High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition

Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine

A New Speaker Identification Algorithm for Gaming Scenarios

Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance

Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition Using Deep Neural Networks

Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks

High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition

Speech Emotion Recognition Using Deep Neural Network and Extreme Learning Machine

Sentiment Detection from Speech Recognition Output

Acoustic and Lexical Sentiment Analysis for Customer Service Calls

Sentiment Detection from ASR Output

CURE Dataset: Ladder Networks for Audio Event Classification

High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition

Sentiment Detection from ASR Output

High-level Feature Representation using Recurrent Neural Network for Speech Emotion Recognition

A New Speaker Identification Algorithm for Gaming Scenarios

CURE Dataset: Ladder Networks for Audio Event Classification

A New Speaker Identification Algorithm for Gaming Scenarios

Exploring cross-dataset generalization of Speech Emotion Recognition models

Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance

Audio-Based SPAM Call Detection

Sentiment Detection from Speech Recognition Output

Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model

Domain mismatch and data augmentation in speech emotion recognition

Multi-label audio classification with a noisy zero-shot teacher

Multi-View Learning for Speech Emotion Recognition

Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics

Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations

Detection of Robocall and Spam Calls using Acoustic Features of Incoming Voicemails

Audio-based Toxic Language Classification using Self-attentive Convolutional Neural Network

Supervised Deep Hashing for Efficient Audio Event Retrieval

Sentiment Detection from ASR Output

The effect of room acoustics on audio event classification

CURE Dataset: Ladder Networks for Audio Event Classification

Acoustic and Lexical Sentiment Analysis for Customer Service Calls

Convolutional Neural Network Techniques for Speech Emotion Recognition