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2020 – today
- 2024
[j26]Florian B. Pokorny
, Julian Linke, Nico Seddiki, Simon Lohrmann, Claus Gerstenberger, Katja Haspl, Marlies Feiner, Florian Eyben, Martin Hagmüller, Barbara Schuppler, Gernot Kubin, Markus Gugatschka:
VocDoc, what happened to my voice? Towards automatically capturing vocal fatigue in the wild. Biomed. Signal Process. Control. 88(Part B): 105595 (2024)- [i13]Oliver Schrüfer, Manuel Milling, Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition. CoRR abs/2407.01143 (2024) - [i12]Dionyssos Kounadis-Bastian, Oliver Schrüfer, Anna Derington, Hagen Wierstorf, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition. CoRR abs/2408.13920 (2024) - 2023
- [j25]Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller:
Multistage linguistic conditioning of convolutional layers for speech emotion recognition. Frontiers Comput. Sci. 5 (2023) - [j24]Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, Maximilian Schmitt, Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10745-10759 (2023) - [c98]Fabrizio Nunnari, Annette Rios, Uwe Reichel, Chirag Bhuvaneshwara, Panagiotis Paraskevas Filntisis, Petros Maragos, Felix Burkhardt, Florian Eyben, Björn W. Schuller, Sarah Ebling:
Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions. ESANN 2023 - [c97]Felix Burkhardt, Anna Derington, Matthias Kahlau, Klaus R. Scherer, Florian Eyben, Björn W. Schuller:
Masking Speech Contents by Random Splicing: is Emotional Expression Preserved? ICASSP 2023: 1-5 - [c96]Monica González Machorro, Pascal Hecker, Uwe D. Reichel, Helly N. Hammer, Robert Hoepner, Lisa Pedrotti, Alisha Zmutt, Hesam Sagha, Johan van Beek, Florian Eyben, Dagmar M. Schuller, Björn W. Schuller, Bert Arnrich:
Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features. INTERSPEECH 2023: 1518-1522 - [c95]Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Nkululeko: Machine Learning Experiments on Speaker Characteristics Without Programming. INTERSPEECH 2023: 2010-2011 - [i11]Hagen Wierstorf, Johannes Wagner, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
audb - Sharing and Versioning of Audio and Annotation Data in Python. CoRR abs/2303.00645 (2023) - [i10]Felix Burkhardt, Johannes Wagner, Hagen Wierstorf, Florian Eyben, Björn W. Schuller:
Speech-based Age and Gender Prediction with Transformers. CoRR abs/2306.16962 (2023) - [i9]Felix Burkhardt, Uwe Reichel, Florian Eyben, Björn W. Schuller:
Going Retro: Astonishingly Simple Yet Effective Rule-based Prosody Modelling for Speech Synthesis Simulating Emotion Dimensions. CoRR abs/2307.02132 (2023) - [i8]Anna Derington, Hagen Wierstorf, Ali Özkil, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
Testing Speech Emotion Recognition Machine Learning Models. CoRR abs/2312.06270 (2023) - 2022
- [j23]Pascal Hecker, Nico Steckhan, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Voice Analysis for Neurological Disorder Recognition-A Systematic Review and Perspective on Emerging Trends. Frontiers Digit. Health 4 (2022) - [c94]Pascal Hecker, Arpita Kappattanavar, Maximilian Schmitt, Sidratul Moontaha, Johannes Wagner, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Quantifying Cognitive Load from Voice using Transformer-Based Models and a Cross-Dataset Evaluation. ICMLA 2022: 337-344 - [c93]Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf, Maximilian Schmitt, Uwe Reichel, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
Probing speech emotion recognition transformers for linguistic knowledge. INTERSPEECH 2022: 146-150 - [c92]Felix Burkhardt, Anabell Hacker, Uwe Reichel, Hagen Wierstorf, Florian Eyben, Björn W. Schuller:
A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning. LREC 2022: 1917-1924 - [c91]Felix Burkhardt, Johannes Wagner, Hagen Wierstorf, Florian Eyben, Björn W. Schuller:
Nkululeko: A Tool For Rapid Speaker Characteristics Detection. LREC 2022: 1925-1932 - [i7]Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, Maximilian Schmitt, Felix Burkhardt, Florian Eyben, Björn W. Schuller:
Dawn of the transformer era in speech emotion recognition: closing the valence gap. CoRR abs/2203.07378 (2022) - [i6]Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf, Maximilian Schmitt, Uwe Reichel, Florian Eyben, Felix Burkhardt, Björn W. Schuller:
Probing Speech Emotion Recognition Transformers for Linguistic Knowledge. CoRR abs/2204.00400 (2022) - 2021
- [c90]Pascal Hecker, Florian B. Pokorny, Katrin D. Bartl-Pokorny, Uwe Reichel, Zhao Ren, Simone Hantke, Florian Eyben, Dagmar M. Schuller, Bert Arnrich, Björn W. Schuller:
Speaking Corona? Human and Machine Recognition of COVID-19 from Voice. Interspeech 2021: 1029-1033 - [i5]Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller:
Multistage linguistic conditioning of convolutional layers for speech emotion recognition. CoRR abs/2110.06650 (2021) - 2020
- [j22]Jun Deng, Björn W. Schuller, Florian Eyben, Dagmar Schuller, Zixing Zhang, Holly Francois, Eunmi Oh:
Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration. Neural Comput. Appl. 32(4): 1095-1107 (2020) - [i4]Katrin D. Bartl-Pokorny, Florian B. Pokorny, Anton Batliner, Shahin Amiriparian, Anastasia Semertzidou, Florian Eyben, Elena Kramer, Florian Schmidt, Rainer Schönweiler, Markus Wehler, Björn W. Schuller:
The voice of COVID-19: Acoustic correlates of infection. CoRR abs/2012.09478 (2020)
2010 – 2019
- 2019
- [j21]Björn W. Schuller, Felix Weninger, Yue Zhang, Fabien Ringeval, Anton Batliner, Stefan Steidl, Florian Eyben, Erik Marchi, Alessandro Vinciarelli, Klaus R. Scherer, Mohamed Chetouani, Marcello Mortillaro:
Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge. Comput. Speech Lang. 53: 156-180 (2019) - [i3]Anton Batliner, Stefan Steidl, Florian Eyben, Björn W. Schuller:
On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction. CoRR abs/1908.11593 (2019) - 2018
- [c89]Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller:
Robust Laughter Detection for Wearable Wellbeing Sensing. DH 2018: 156-157 - [c88]Hans-Jörg Vögel, Christian Süß, Thomas Hubregtsen, Elisabeth André, Björn W. Schuller, Jérôme Härri, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques M. B. Terken, Jonas Beskow, Ann Morrison, Kynan Eng, Florian Eyben, Samer Al Moubayed, Susanne Muller, Nicholas Cummins, Viviane S. Ghaderi, Ronee Chadowitz, Raphaël Troncy, Benoit Huet, Melek Önen, Adlen Ksentini:
Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. SEFAIAS@ICSE 2018: 11-15 - [i2]Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben, Björn W. Schuller:
audEERING's approach to the One-Minute-Gradual Emotion Challenge. CoRR abs/1805.01222 (2018) - 2017
- [c87]Jun Deng, Florian Eyben, Björn W. Schuller, Felix Burkhardt:
Deep neural networks for anger detection from real life speech data. ACII Workshops 2017: 1-6 - [c86]Gerhard Hagerer, Florian Eyben, Dagmar Schuller, Klaus R. Scherer, Björn W. Schuller:
VoicePlay - An affective sports game operated by speech emotion recognition based on the component process model. ACII Workshops 2017: 74-76 - [c85]Felix Burkhardt, Benjamin Weiss, Florian Eyben, Jun Deng, Björn W. Schuller:
Detecting Vocal Irony. GSCL 2017: 11-22 - [c84]Florian Eyben, Matthias Unfried, Gerhard Hagerer, Björn W. Schuller:
Automatic multi-lingual arousal detection from voice applied to real product testing applications. ICASSP 2017: 5155-5159 - [c83]Johanna Bohm, Florian Eyben, Maximilian Schmitt, Harald Kosch, Björn W. Schuller:
Seeking the SuperStar: Automatic assessment of perceived singing quality. IJCNN 2017: 1560-1569 - [c82]Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller:
"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers. INTERSPEECH 2017: 2044-2045 - [c81]Yue Zhang, Felix Weninger, Boqing Liu, Maximilian Schmitt, Florian Eyben, Björn W. Schuller:
A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits. ACM Multimedia 2017: 387-392 - [c80]Gerhard Hagerer, Vedhas Pandit, Florian Eyben, Björn W. Schuller:
Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data. Semantic Audio 2017 - 2016
- [j20]Florian Eyben, Klaus R. Scherer, Björn W. Schuller, Johan Sundberg, Elisabeth André, Carlos Busso, Laurence Y. Devillers, Julien Epps, Petri Laukka, Shrikanth S. Narayanan, Khiet P. Truong:
The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing. IEEE Trans. Affect. Comput. 7(2): 190-202 (2016) - [c79]Erik Marchi, Florian Eyben, Gerhard Hagerer, Björn W. Schuller:
Real-Time Tracking of Speakers' Emotions, States, and Traits on Mobile Platforms. INTERSPEECH 2016: 1182-1183 - 2015
- [j19]Björn W. Schuller, Stefan Steidl, Anton Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, Rob van Son, Felix Weninger, Florian Eyben, Tobias Bocklet, Gelareh Mohammadi, Benjamin Weiss:
A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge. Comput. Speech Lang. 29(1): 100-131 (2015) - [j18]Florian Eyben, Gláucia L. Salomão, Johan Sundberg, Klaus R. Scherer, Björn W. Schuller:
Emotion in the singing voice - a deeperlook at acoustic features in the light ofautomatic classification. EURASIP J. Audio Speech Music. Process. 2015: 19 (2015) - [j17]Fabien Ringeval, Florian Eyben, Eleni Kroupi, Anil Yüce, Jean-Philippe Thiran, Touradj Ebrahimi, Denis Lalanne, Björn W. Schuller:
Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data. Pattern Recognit. Lett. 66: 22-30 (2015) - [c78]Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn W. Schuller, Etienne de Sevin, Michel F. Valstar, Martin Wöllmer:
Building autonomous sensitive artificial listeners (Extended abstract). ACII 2015: 456-462 - [c77]Angeliki Metallinou, Athanasios Katsamanis, Martin Wöllmer, Florian Eyben, Björn W. Schuller, Shrikanth S. Narayanan:
Context-sensitive learning for enhanced audiovisual emotion classification (Extended abstract). ACII 2015: 463-469 - [c76]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll:
Cross-corpus acoustic emotion recognition: Variances and strategies (Extended abstract). ACII 2015: 470-476 - [c75]Florian Eyben, Bernd Huber, Erik Marchi, Dagmar Schuller, Björn W. Schuller:
Real-time robust recognition of speakers' emotions and characteristics on mobile platforms. ACII 2015: 778-780 - [c74]Simone Hantke, Florian Eyben, Tobias Appel, Björn W. Schuller:
iHEARu-PLAY: Introducing a game for crowdsourced data collection for affective computing. ACII 2015: 891-897 - [c73]Erik Marchi, Fabio Vesperini, Florian Eyben, Stefano Squartini, Björn W. Schuller:
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks. ICASSP 2015: 1996-2000 - [c72]Erik Marchi, Fabio Vesperini, Felix Weninger, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection. IJCNN 2015: 1-7 - [c71]Lucas Azaïs, Adrien Payan, Tianjiao Sun, Guillaume Vidal, Tina Zhang, Eduardo Coutinho, Florian Eyben, Björn W. Schuller:
Does my speech rock? automatic assessment of public speaking skills. INTERSPEECH 2015: 2519-2523 - 2014
- [j16]Björn W. Schuller, Stefan Steidl, Anton Batliner, Florian Schiel, Jarek Krajewski, Felix Weninger, Florian Eyben:
Medium-term speaker states - A review on intoxication, sleepiness and the first challenge. Comput. Speech Lang. 28(2): 346-374 (2014) - [j15]Jun Deng, Zixing Zhang, Florian Eyben, Björn W. Schuller:
Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition. IEEE Signal Process. Lett. 21(9): 1068-1072 (2014) - [c70]Florian Eyben, Yannis Agiomyrgiannakis:
A frequency-weighted post-filtering transform for compensation of the over-smoothing effect in HMM-based speech synthesis. ICASSP 2014: 275-279 - [c69]Erik Marchi, Giacomo Ferroni, Florian Eyben, Leonardo Gabrielli, Stefano Squartini, Björn W. Schuller:
Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks. ICASSP 2014: 2164-2168 - [c68]Felix Weninger, Florian Eyben, Björn W. Schuller:
Single-channel speech separation with memory-enhanced recurrent neural networks. ICASSP 2014: 3709-3713 - [c67]Heysem Kaya, Florian Eyben, Albert Ali Salah, Björn W. Schuller:
CCA based feature selection with application to continuous depression recognition from acoustic speech features. ICASSP 2014: 3729-3733 - [c66]Felix Weninger, Florian Eyben, Björn W. Schuller:
On-line continuous-time music mood regression with deep recurrent neural networks. ICASSP 2014: 5412-5416 - [c65]Oya Çeliktutan, Florian Eyben, Evangelos Sariyanidi, Hatice Gunes, Björn W. Schuller:
MAPTRAITS 2014: The First Audio/Visual Mapping Personality Traits Challenge. MAPTRAITS@ICMI 2014: 3-9 - [c64]Fabien Ringeval, Shahin Amiriparian, Florian Eyben, Klaus R. Scherer, Björn W. Schuller:
Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion. ICMI 2014: 473-480 - [c63]Oya Çeliktutan, Florian Eyben, Evangelos Sariyanidi, Hatice Gunes, Björn W. Schuller:
MAPTRAITS 2014 - The First Audio/Visual Mapping Personality Traits Challenge - An Introduction: Perceived Personality and Social Dimensions. ICMI 2014: 529-530 - [c62]Erik Marchi, Giacomo Ferroni, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Audio onset detection: A wavelet packet based approach with recurrent neural networks. IJCNN 2014: 3585-3591 - [c61]Björn W. Schuller, Stefan Steidl, Anton Batliner, Julien Epps, Florian Eyben, Fabien Ringeval, Erik Marchi, Yue Zhang:
The INTERSPEECH 2014 computational paralinguistics challenge: cognitive & physical load. INTERSPEECH 2014: 427-431 - [c60]Björn W. Schuller, Felix Friedmann, Florian Eyben:
The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production. LREC 2014: 1506-1510 - [c59]Michel F. Valstar, Björn W. Schuller, Kirsty Smith, Timur R. Almaev, Florian Eyben, Jarek Krajewski, Roddy Cowie, Maja Pantic:
AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge. AVEC@MM 2014: 3-10 - [c58]Mohammad Soleymani, Anna Aljanaki, Yi-Hsuan Yang, Michael N. Caro, Florian Eyben, Konstantin Markov, Björn W. Schuller, Remco C. Veltkamp, Felix Weninger, Frans Wiering:
Emotional Analysis of Music: A Comparison of Methods. ACM Multimedia 2014: 1161-1164 - [e1]Hatice Gunes, Björn W. Schuller, Oya Çeliktutan, Evangelos Sariyanidi, Florian Eyben:
Proceedings of the 2014 Workshop on Mapping Personality Traits Challenge and Workshop, MAPTRAITS@ICMI 2014, Istanbul, Turkey, November 12, 2014. ACM 2014, ISBN 978-1-4503-0480-1 [contents] - [i1]Felix Weninger, Björn W. Schuller, Florian Eyben, Martin Wöllmer, Gerhard Rigoll:
A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems. CoRR abs/1412.4616 (2014) - 2013
- [j14]Martin Wöllmer, Moritz Kaiser, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework. Image Vis. Comput. 31(2): 153-163 (2013) - [c57]Florian Eyben, Felix Weninger, Stefano Squartini, Björn W. Schuller:
Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies. ICASSP 2013: 483-487 - [c56]Björn W. Schuller, Felix Friedmann, Florian Eyben:
Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance. ICASSP 2013: 7219-7223 - [c55]Florian Eyben, Felix Weninger, Lucas Paletta, Björn W. Schuller:
The acoustics of eye contact: detecting visual attention from conversational audio cues. GazeIn@ICMI 2013: 7-12 - [c54]Björn W. Schuller, Stefan Steidl, Anton Batliner, Alessandro Vinciarelli, Klaus R. Scherer, Fabien Ringeval, Mohamed Chetouani, Felix Weninger, Florian Eyben, Erik Marchi, Marcello Mortillaro, Hugues Salamin, Anna Polychroniou, Fabio Valente, Samuel Kim:
The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism. INTERSPEECH 2013: 148-152 - [c53]Jürgen T. Geiger, Florian Eyben, Nicholas W. D. Evans, Björn W. Schuller, Gerhard Rigoll:
Using linguistic information to detect overlapping speech. INTERSPEECH 2013: 690-694 - [c52]Jürgen T. Geiger, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Detecting overlapping speech with long short-term memory recurrent neural networks. INTERSPEECH 2013: 1668-1672 - [c51]Florian Eyben, Felix Weninger, Björn W. Schuller:
Affect recognition in real-life acoustic conditions - a new perspective on feature selection. INTERSPEECH 2013: 2044-2048 - [c50]Felix Weninger, Florian Eyben, Björn W. Schuller:
The TUM Approach to the MediaEval Music Emotion Task Using Generic Affective Audio Features. MediaEval 2013 - [c49]Michel F. Valstar, Björn W. Schuller, Kirsty Smith, Florian Eyben, Bihan Jiang, Sanjay Bilakhia, Sebastian Schnieder, Roddy Cowie, Maja Pantic:
AVEC 2013: the continuous audio/visual emotion and depression recognition challenge. AVEC@ACM Multimedia 2013: 3-10 - [c48]Florian Eyben, Felix Weninger, Florian Groß, Björn W. Schuller:
Recent developments in openSMILE, the munich open-source multimedia feature extractor. ACM Multimedia 2013: 835-838 - [c47]Florian Eyben, Felix Weninger, Erik Marchi, Björn W. Schuller:
Likability of human voices: A feature analysis and a neural network regression approach to automatic likability estimation. WIAMIS 2013: 1-4 - 2012
- [j13]Emanuele Principi, Rudy Rotili, Martin Wöllmer, Florian Eyben, Stefano Squartini, Björn W. Schuller:
Real-Time Activity Detection in a Multi-Talker Reverberated Environment. Cogn. Comput. 4(4): 386-397 (2012) - [j12]Marc Schröder, Elisabetta Bevacqua, Roddy Cowie, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Gary McKeown, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn W. Schuller, Etienne de Sevin, Michel François Valstar, Martin Wöllmer:
Building Autonomous Sensitive Artificial Listeners. IEEE Trans. Affect. Comput. 3(2): 165-183 (2012) - [j11]Angeliki Metallinou, Martin Wöllmer, Athanasios Katsamanis, Florian Eyben, Björn W. Schuller, Shrikanth S. Narayanan:
Context-Sensitive Learning for Enhanced Audiovisual Emotion Classification. IEEE Trans. Affect. Comput. 3(2): 184-198 (2012) - [j10]Florian Eyben, Martin Wöllmer, Björn W. Schuller:
A multitask approach to continuous five-dimensional affect sensing in natural speech. ACM Trans. Interact. Intell. Syst. 2(1): 6:1-6:29 (2012) - [c46]Martin Wöllmer, Moritz Kaiser, Florian Eyben, Felix Weninger, Björn W. Schuller, Gerhard Rigoll:
Fully Automatic Audiovisual Emotion Recognition: Voice, Words, and the Face. ITG Conference on Speech Communication 2012: 1-4 - [c45]Cyril Joder, Felix Weninger, Florian Eyben, David Virette, Björn W. Schuller:
Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization. LVA/ICA 2012: 322-329 - [c44]Felix Weninger, Noam Amir, Ofer Amir, Irit Ronen, Florian Eyben, Björn W. Schuller:
Robust feature extraction for automatic recognition of vibrato singing in recorded polyphonic music. ICASSP 2012: 85-88 - [c43]Florian Eyben, Sabine Buchholz, Norbert Braunschweiler, Javier Latorre, Vincent Wan, Mark J. F. Gales, Kate M. Knill:
Unsupervised clustering of emotion and voice styles for expressive TTS. ICASSP 2012: 4009-4012 - [c42]Florian Eyben, Stavros Petridis, Björn W. Schuller, Maja Pantic:
Audiovisual vocal outburst classification in noisy acoustic conditions. ICASSP 2012: 5097-5100 - [c41]Björn W. Schuller, Michel F. Valstar, Florian Eyben, Roddy Cowie, Maja Pantic:
AVEC 2012: the continuous audio/visual emotion challenge. ICMI 2012: 449-456 - [c40]Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Improving generalisation and robustness of acoustic affect recognition. ICMI 2012: 517-522 - [c39]Wenjing Han, Haifeng Li, Florian Eyben, Lin Ma, Jiayin Sun, Björn W. Schuller:
Preserving actual dynamic trend of emotion in dimensional speech emotion recognition. ICMI 2012: 523-528 - [c38]Björn W. Schuller, Stefan Steidl, Anton Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, Rob van Son, Felix Weninger, Florian Eyben, Tobias Bocklet, Gelareh Mohammadi, Benjamin Weiss:
The INTERSPEECH 2012 Speaker Trait Challenge. INTERSPEECH 2012: 254-257 - [c37]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Temporal and Situational Context Modeling for Improved Dominance Recognition in Meetings. INTERSPEECH 2012: 350-353 - [c36]Florian Eyben, Felix Weninger, Nicolas H. Lehment, Gerhard Rigoll, Björn W. Schuller:
Violent Scenes Detection with Large, Brute-forced Acoustic and Visual Feature Sets. MediaEval 2012 - 2011
- [j9]Martin Wöllmer, Felix Weninger, Florian Eyben, Björn W. Schuller:
Computational Assessment of Interest in Speech - Facing the Real-Life Challenge. Künstliche Intell. 25(3): 225-234 (2011) - [c35]Björn W. Schuller, Michel François Valstar, Florian Eyben, Gary McKeown, Roddy Cowie, Maja Pantic:
AVEC 2011-The First International Audio/Visual Emotion Challenge. ACII (2) 2011: 415-424 - [c34]Florian Eyben, Martin Wöllmer, Michel François Valstar, Hatice Gunes, Björn W. Schuller, Maja Pantic:
String-based audiovisual fusion of behavioural events for the assessment of dimensional affect. FG 2011: 322-329 - [c33]Marc Schröder, Sathish Pammi, Hatice Gunes, Maja Pantic, Michel François Valstar, Roddy Cowie, Gary McKeown, Dirk Heylen, Mark ter Maat, Florian Eyben, Björn W. Schuller, Martin Wöllmer, Elisabetta Bevacqua, Catherine Pelachaud, Etienne de Sevin:
Come and have an emotional workout with sensitive artificial listeners! FG 2011: 646 - [c32]Felix Weninger, Jean-Louis Durrieu, Florian Eyben, Gaël Richard, Björn W. Schuller:
Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition. ICASSP 2011: 2196-2199 - [c31]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
A multi-stream ASR framework for BLSTM modeling of conversational speech. ICASSP 2011: 4860-4863 - [c30]Christian Landsiedel, Jens Edlund, Florian Eyben, Daniel Neiberg, Björn W. Schuller:
Syllabification of conversational speech using Bidirectional Long-Short-Term Memory Neural Networks. ICASSP 2011: 5256-5259 - [c29]André Stuhlsatz, Christine Meyer, Florian Eyben, Thomas Zielke, Hans-Günter Meier, Björn W. Schuller:
Deep neural networks for acoustic emotion recognition: Raising the benchmarks. ICASSP 2011: 5688-5691 - [c28]Florian Eyben, Stavros Petridis, Björn W. Schuller, George Tzimiropoulos, Stefanos Zafeiriou, Maja Pantic:
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks. ICASSP 2011: 5844-5847 - [c27]Martin Wöllmer, Felix Weninger, Florian Eyben, Björn W. Schuller:
Acoustic-Linguistic Recognition of Interest in Speech with Bottleneck-BLSTM Nets. INTERSPEECH 2011: 77-80 - [c26]Elisabetta Bevacqua, Florian Eyben, Dirk Heylen, Mark ter Maat, Sathish Pammi, Catherine Pelachaud, Marc Schröder, Björn W. Schuller, Etienne de Sevin, Martin Wöllmer:
Interacting with Emotional Virtual Agents. INTETAIN 2011: 243-245 - [c25]Björn W. Schuller, Martin Wöllmer, Florian Eyben, Gerhard Rigoll, Dejan Arsic:
Semantic Speech Tagging: Towards Combined Analysis of Speaker Traits. Semantic Audio 2011 - 2010
- [j8]Florian Eyben, Martin Wöllmer, Tony Poitschke, Björn W. Schuller, Christoph Blaschke, Berthold Färber, Nhu Nguyen-Thien:
Emotion on the Road - Necessity, Acceptance, and Feasibility of Affective Computing in the Car. Adv. Hum. Comput. Interact. 2010: 263593:1-263593:17 (2010) - [j7]Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Bidirectional LSTM Networks for Context-Sensitive Keyword Detection in a Cognitive Virtual Agent Framework. Cogn. Comput. 2(3): 180-190 (2010) - [j6]Florian Eyben, Martin Wöllmer, Alex Graves, Björn W. Schuller, Ellen Douglas-Cowie, Roddy Cowie:
On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues. J. Multimodal User Interfaces 3(1-2): 7-19 (2010) - [j5]Martin Wöllmer, Björn W. Schuller, Florian Eyben, Gerhard Rigoll:
Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening. IEEE J. Sel. Top. Signal Process. 4(5): 867-881 (2010) - [j4]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Martin Wöllmer, André Stuhlsatz, Andreas Wendemuth, Gerhard Rigoll:
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies. IEEE Trans. Affect. Comput. 1(2): 119-131 (2010) - [c24]Björn W. Schuller, Florian Metze, Stefan Steidl, Anton Batliner, Florian Eyben, Tim Polzehl:
Late fusion of individual engines for improved recognition of negative emotion in speech - learning vs. democratic vote. ICASSP 2010: 5230-5233 - [c23]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Spoken term detection with Connectionist Temporal Classification: A novel hybrid CTC-DBN decoder. ICASSP 2010: 5274-5277 - [c22]Florian Metze, Anton Batliner, Florian Eyben, Tim Polzehl, Björn W. Schuller, Stefan Steidl:
Emotion recognition using imperfect speech recognition. INTERSPEECH 2010: 478-481 - [c21]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Recognition of spontaneous conversational speech using long short-term memory phoneme predictions. INTERSPEECH 2010: 1946-1949 - [c20]Martin Wöllmer, Angeliki Metallinou, Florian Eyben, Björn W. Schuller, Shrikanth S. Narayanan:
Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional LSTM modeling. INTERSPEECH 2010: 2362-2365 - [c19]Martin Wöllmer, Yang Sun, Florian Eyben, Björn W. Schuller:
Long short-term memory networks for noise robust speech recognition. INTERSPEECH 2010: 2966-2969 - [c18]Florian Eyben, Sebastian Böck, Björn W. Schuller, Alex Graves:
Universal Onset Detection with Bidirectional Long Short-Term Memory Neural Networks. ISMIR 2010: 589-594 - [c17]Björn W. Schuller, Christoph Kozielski, Felix Weninger, Florian Eyben, Gerhard Rigoll:
Vocalist Gender Recognition in Recorded Popular Music. ISMIR 2010: 613-618 - [c16]Dejan Arsic, Luis Roalter, Martin Wöllmer, Florian Eyben, Björn W. Schuller, Moritz Kaiser, Matthias Kranz, Gerhard Rigoll:
3d gesture recognition applying long short-term memory and contextual knowledge in a CAVE. MPVA@MM 2010: 33-36 - [c15]Florian Eyben, Martin Wöllmer, Björn W. Schuller:
Opensmile: the munich versatile and fast open-source audio feature extractor. ACM Multimedia 2010: 1459-1462
2000 – 2009
- 2009
- [j3]Martin Wöllmer, Marc A. Al-Hames, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams. Neurocomputing 73(1-3): 366-380 (2009) - [j2]Björn W. Schuller, Ronald Müller, Florian Eyben, Jürgen Gast, Benedikt Hörnler, Martin Wöllmer, Gerhard Rigoll, Anja Höthker, Hitoshi Konosu:
Being bored? Recognising natural interest by extensive audiovisual integration for real-life application. Image Vis. Comput. 27(12): 1760-1774 (2009) - [c14]Florian Eyben, Martin Wöllmer, Björn W. Schuller:
OpenEAR - Introducing the munich open-source emotion and affect recognition toolkit. ACII 2009: 1-6 - [c13]Marc Schröder, Elisabetta Bevacqua, Florian Eyben, Hatice Gunes, Dirk Heylen, Mark ter Maat, Sathish Pammi, Maja Pantic, Catherine Pelachaud, Björn W. Schuller, Etienne de Sevin, Michel F. Valstar, Martin Wöllmer:
A demonstration of audiovisual sensitive artificial listeners. ACII 2009: 1-2 - [c12]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Gerhard Rigoll:
Robust vocabulary independent keyword spotting with graphical models. ASRU 2009: 349-353 - [c11]Florian Eyben, Martin Wöllmer, Björn W. Schuller, Alex Graves:
From speech to letters - using a novel neural network architecture for grapheme based ASR. ASRU 2009: 376-380 - [c10]Björn W. Schuller, Bogdan Vlasenko, Florian Eyben, Gerhard Rigoll, Andreas Wendemuth:
Acoustic emotion recognition: A benchmark comparison of performances. ASRU 2009: 552-557 - [c9]Martin Wöllmer, Florian Eyben, Joseph Keshet, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks. ICASSP 2009: 3949-3952 - [c8]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Ellen Douglas-Cowie, Roddy Cowie:
Data-driven clustering in emotional space for affect recognition using discriminatively trained LSTM networks. INTERSPEECH 2009: 1595-1598 - [c7]Martin Wöllmer, Florian Eyben, Björn W. Schuller, Yang Sun, Tobias Moosmayr, Nhu Nguyen-Thien:
Robust in-car spelling recognition - a tandem BLSTM-HMM approach. INTERSPEECH 2009: 2507-2510 - [c6]Martin Wöllmer, Florian Eyben, Alex Graves, Björn W. Schuller, Gerhard Rigoll:
Improving Keyword Spotting with a Tandem BLSTM-DBN Architecture. NOLISP 2009: 68-75 - 2008
- [j1]Björn W. Schuller, Florian Eyben, Gerhard Rigoll:
Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [c5]Björn W. Schuller, Florian Dibiasi, Florian Eyben, Gerhard Rigoll:
Music Thumbnailing Incorporating Harmony- and Rhythm Structure. Adaptive Multimedia Retrieval 2008: 78-88 - [c4]Martin Wöllmer, Florian Eyben, Stephan Reiter, Björn W. Schuller, Cate Cox, Ellen Douglas-Cowie, Roddy Cowie:
Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies. INTERSPEECH 2008: 597-600 - [c3]Björn W. Schuller, Florian Eyben, Gerhard Rigoll:
Static and Dynamic Modelling for the Recognition of Non-verbal Vocalisations in Conversational Speech. PIT 2008: 99-110 - 2007
- [c2]Björn W. Schuller, Florian Eyben, Gerhard Rigoll:
Fast and Robust Meter and Tempo Recognition for the Automatic Discrimination of Ballroom Dance Styles. ICASSP (1) 2007: 217-220 - [c1]Florian Eyben, Björn W. Schuller, Stephan Reiter, Gerhard Rigoll:
Wearable Assistance for the Ballroom-Dance Hobbyist - Holistic Rhythm Analysis and Dance-Style Classification. ICME 2007: 92-95
Coauthor Index
[i13] [i12] [j25] [j24] [c98] [c97] [c96] [c95] [i11] [i10] [i9] [i8] [j23] [c94] [c93] [c92] [c91] [i7] [i6] [c90] [i5] [j22] [i4] [j21] [i3] [c89] [c88] [i2] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [j20] [c79] [j19] [j18] [j17] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [j16] [j15] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [e1] [i1] [j14] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [j13] [j12] [j11] [j10] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [j9] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [j8] [j7] [j6] [j5] [j4] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j3] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
Michel F. Valstar
aka: Michel François Valstar
aka: Michel François Valstar
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