Search Results - "Schuller, Björn"

Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap by Wagner, Johannes, Triantafyllopoulos, Andreas, Wierstorf, Hagen, Schmitt, Maximilian, Burkhardt, Felix, Eyben, Florian, Schuller, Bjorn W.

“…Recent advances in transformer-based architectures have shown promise in several machine learning tasks. In the audio domain, such architectures have been…”
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Categorical and dimensional affect analysis in continuous input: Current trends and future directions by Gunes, Hatice, Schuller, Björn

“…In the context of affective human behavior analysis, we use the term continuous input to refer to naturalistic settings where explicit or implicit input from…”
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Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning by Cummins, Nicholas, Baird, Alice, Schuller, Björn W.

“…•An overview of the emergent domain of Speech Analysis for Health Care is given.•Insights are given into Deep Learning approaches in this field.•Challenges in…”
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EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition by Gerczuk, Maurice, Amiriparian, Shahin, Ottl, Sandra, Schuller, Bjorn W.

“…In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is approached from a deep transfer learning perspective. A large corpus of…”
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Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition by Zhao, Ziping, Li, Qifei, Zhang, Zixing, Cummins, Nicholas, Wang, Haishuai, Tao, Jianhua, W. Schuller, Björn

“…A challenging issue in the field of the automatic recognition of emotion from speech is the efficient modelling of long temporal contexts. Moreover, when…”
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AI-Based human audio processing for COVID-19: A comprehensive overview by Deshpande, Gauri, Batliner, Anton, Schuller, Björn W.

“…•Survey of audio processing techniques for COVID-19 related health problems.•COVID-19 screening, and diagnosing using audio-based analysis.•Artificial…”
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Affective Computing [Scanning the Issue] by Schuller, Bjorn W., Pietikainen, Matti

“…The articles in this special issue cover four major subfields in affective computing, namely affect analysis, affect synthesis, applications, and ethics…”
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Capturing dynamics of post-earnings-announcement drift using a genetic algorithm-optimized XGBoost by Ye, Zhengxin Joseph, Schuller, Björn W.

“…•Predict cumulative abnormal return of stocks following earnings release using XGBoost.•Study drivers of post-earnings-release drift (PEAD) as identified by…”
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DepressionMLP: A Multi-Layer Perceptron Architecture for Automatic Depression Level Prediction via Facial Keypoints and Action Units by Niu, Mingyue, Li, Ya, Tao, Jianhua, Zhou, Xiuzhuang, Schuller, Bjorn W.

“…Physiological studies have confirmed that there are differences in facial activities between depressed and healthy individuals. Therefore, while protecting the…”
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Audio self-supervised learning: A survey by Liu, Shuo, Mallol-Ragolta, Adria, Parada-Cabaleiro, Emilia, Qian, Kun, Jing, Xin, Kathan, Alexander, Hu, Bin, Schuller, Björn W.

“…Similar to humans’ cognitive ability to generalize knowledge and skills, self-supervised learning (SSL) targets discovering general representations from…”
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Can ChatGPT's Responses Boost Traditional Natural Language Processing? by Amin, Mostafa M., Cambria, Erik, Schuller, Bjorn W., Cambria, Erik

“…The employment of foundation models is steadily expanding, especially with the launch of ChatGPT and the release of other foundation models. These models have…”
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Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas by Karas, Vincent, Schuller, Dagmar M., Schuller, Bjorn W.

“…Emotion and a broader range of affective and cognitive states play an important role on the road. While this has been predominantly investigated in terms of…”
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Face mask recognition from audio: The MASC database and an overview on the mask challenge by Mohamed, Mostafa M., Nessiem, Mina A., Batliner, Anton, Bergler, Christian, Hantke, Simone, Schmitt, Maximilian, Baird, Alice, Mallol-Ragolta, Adria, Karas, Vincent, Amiriparian, Shahin, Schuller, Björn W.

“…•Introduction of the Mask Augsburg Speech Corpus (MASC) database.•Summarising the Mask Sub-Challenge (MSC) and its baseline approaches.•Explanation and…”
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Airborne pollen grain detection from partially labelled data utilising semi-supervised learning by Jin, Benjamin, Milling, Manuel, Plaza, Maria Pilar, Brunner, Jens O., Traidl-Hoffmann, Claudia, Schuller, Björn W., Damialis, Athanasios

“…Airborne pollen monitoring has been conducted for more than a century now, as knowledge of the quantity and periodicity of airborne pollen has diverse use…”
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Speech Denoising and Compensation for Hearing Aids using an FTCRN-based Metric GAN by Cheng, Jiaming, Liang, Ruiyu, Zhao, Li, Huang, Chengwei, Schuller, Bjorn W.

“…Hearing aids aims to improve speech intelligibility for hearing impaired patients to levels comparable to those for normal hearing listeners. However, the…”
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Learning audio sequence representations for acoustic event classification by Zhang, Zixing, Liu, Ding, Han, Jing, Qian, Kun, Schuller, Björn W.

“…•The proposed method learns higher representations independent of audio length.•The proposed method was validated by a large-scale acoustic event database.•It…”
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Prediction on Mechanical Properties of Non-Equiatomic High-Entropy Alloy by Atomistic Simulation and Machine Learning by Zhang, Liang, Qian, Kun, Schuller, Björn W., Shibuta, Yasushi

“…High-entropy alloys (HEAs) with multiple constituent elements have been extensively studied in the past 20 years, due to their promising engineering…”
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LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices by Zhu, Lixian, Qiu, Wanyong, Ma, Yu, Tian, Fuze, Sun, Mengkai, Wang, Zhihua, Qian, Kun, Hu, Bin, Yamamoto, Yoshiharu, Schuller, Bjorn W.

“…Wearable intelligent phonocardiogram (PCG) sensors provide a noninvasive method for long-term monitoring of cardiac status, which is crucial for the early…”
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Bridging the gap between artificial intelligence and mental health by Lu, Tangsheng, Liu, Xiaoxing, Sun, Jie, Bao, Yanping, Schuller, Björn W., Han, Ying, Lu, Lin

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Speech Synthesis with Mixed Emotions by Zhou, Kun, Sisman, Berrak, Rana, Rajib, Schuller, Bjorn W., Li, Haizhou

“…Emotional speech synthesis aims to synthesize human voices with various emotional effects. The current studies are mostly focused on imitating an averaged…”
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