Snore Sound Classification Using Image-Based Deep Spectrum Features

Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, +5

MusicEngineeringMachine LearningVarious TypesAcoustic Modeling +16

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Björn W. Schuller, Anton Batliner, Christian Bergler, +21

EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition

Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, +1

IEEE Transactions on Affective Computing

EngineeringMachine LearningSpeech CorpusTransfer Learning FrameworkSpoken Language Processing +20

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis

Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, +3

EngineeringMultimodal Sentiment AnalysisCorpus LinguisticsSentiment AnalysisText Mining +15

Sentiment analysis using image-based deep spectrum features

Shahin Amiriparian, Nicholas Cummins, Sandra Ottl, +2

EngineeringMachine LearningMultimedia AnalysisSpoken Language ProcessingMultimodal Sentiment Analysis +15

motilitAI: A machine learning framework for automatic prediction of human sperm motility

Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, +1

iScience

An Evaluation of Speech-Based Recognition of Emotional and Physiological Markers of Stress

Alice Baird, Andreas Triantafyllopoulos, Sandra Zänkert, +10

Frontiers in Computer Science

Speech-based RecognitionEngineeringMachine LearningAffective NeuroscienceSpoken Language Processing +24

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Björn W. Schuller, Anton Batliner, Christian Bergler, +21

arXiv (Cornell University)

EngineeringMachine LearningCovid-19 CoughSpoken Language ProcessingCommunication +24

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis

Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, +3

MusicConvolutional Neural NetworkEngineeringMachine LearningSpeech Recognition +14

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

Shahin Amiriparian, Tobias Hübner, Vincent Karas, +3

Frontiers in Artificial Intelligence