F. Weninger

Most-cited papers

Recent developments in openSMILE, the munich open-source multimedia feature extractor
F. Eyben, F. Weninger, Florian Groß, Björn Schuller
2013ACM Multimedia1,356 citations Open access
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The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism
Björn Schuller, S. Steidl, A. Batliner, A. Vinciarelli +11 more
2013Interspeech820 citations Open access
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Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
F. Weninger, Hakan Erdogan, Shinji Watanabe, E. Vincent +3 more
2015Latent Variable Analysis and Signal Separation661 citations
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Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
J. Hershey, Jonathan Le Roux, F. Weninger
2014arXiv.org506 citations
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YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context
Martin Wollmer, F. Weninger, T. Knaup, Björn Schuller +3 more
2013IEEE Intelligent Systems421 citations
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Discriminatively trained recurrent neural networks for single-channel speech separation
F. Weninger, J. Hershey, Jonathan Le Roux, Björn Schuller
2014IEEE Global Conference on Signal and Information Processing307 citations
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On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common
F. Weninger, F. Eyben, Björn Schuller, M. Mortillaro +1 more
2013Frontiers in Psychology279 citations Open access
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Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies
F. Eyben, F. Weninger, S. Squartini, Björn W. Schuller
2013IEEE International Conference on Acoustics, Speech, and Signal Processing238 citations Open access
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Introducing CURRENNT: the munich open-source CUDA recurrent neural network toolkit
F. Weninger, Johannes Bergmann, Björn Schuller
2015Journal of machine learning research188 citations
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The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition
Björn Schuller, S. Steidl, A. Batliner, Simone Hantke +5 more
2015Interspeech151 citations
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Deep NMF for speech separation
Jonathan Le Roux, J. Hershey, F. Weninger
2015IEEE International Conference on Acoustics, Speech, and Signal Processing147 citations
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Single-channel speech separation with memory-enhanced recurrent neural networks
F. Weninger, F. Eyben, Björn W. Schuller
2014IEEE International Conference on Acoustics, Speech, and Signal Processing132 citations
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Discriminative NMF and its application to single-channel source separation
F. Weninger, Jonathan Le Roux, J. Hershey, Shinji Watanabe
2014Interspeech119 citations
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Sparse NMF – half-baked or well done?
J. Le Roux, F. Weninger, J. Hershey
2015110 citations
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Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition
F. Weninger, Shinji Watanabe, Yuuki Tachioka, Björn Schuller
2014IEEE International Conference on Acoustics, Speech, and Signal Processing90 citations
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A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge
Björn Schuller, S. Steidl, A. Batliner, Elmar Nöth +8 more
2015Computer Speech and Language85 citations Open access
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On-line continuous-time music mood regression with deep recurrent neural networks
F. Weninger, F. Eyben, Björn Schuller
2014IEEE International Conference on Acoustics, Speech, and Signal Processing78 citations Open access
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Real-Time Speech Separation by Semi-supervised Nonnegative Matrix Factorization
C. Joder, F. Weninger, F. Eyben, David Virette +1 more
2012Latent Variable Analysis and Signal Separation76 citations Open access
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Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection
E. Marchi, Fabio Vesperini, F. Weninger, F. Eyben +2 more
2015IEEE International Joint Conference on Neural Network75 citations
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Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling
Jürgen T. Geiger, Zixing Zhang, F. Weninger, Björn Schuller +1 more
2014Interspeech75 citations
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Feature enhancement by deep LSTM networks for ASR in reverberant multisource environments
F. Weninger, Jürgen T. Geiger, M. Wöllmer, Björn Schuller +1 more
2014Computer Speech and Language73 citations Open access
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Discriminatively Trained Recurrent Neural Networks for Continuous Dimensional Emotion Recognition from Audio
F. Weninger, F. Ringeval, E. Marchi, Björn Schuller
2016International Joint Conference on Artificial Intelligence70 citations
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The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches
F. Weninger, J. Krajewski, A. Batliner, Björn Schuller
2012IEEE Transactions on Affective Computing67 citations Open access
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Medium-term speaker states - A review on intoxication, sleepiness and the first challenge
Björn Schuller, S. Steidl, A. Batliner, F. Schiel +3 more
2014Computer Speech and Language59 citations Open access
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Multi-task deep neural network with shared hidden layers: Breaking down the wall between emotion representations
Yue Zhang, Yi-Fan Liu, F. Weninger, Björn Schuller
2017IEEE International Conference on Acoustics, Speech, and Signal Processing57 citations Open access
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Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge
Björn Schuller, F. Weninger, Yue Zhang, F. Ringeval +8 more
2019Computer Speech and Language53 citations Open access
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Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise
Martin Wollmer, Zixing Zhang, F. Weninger, Björn Schuller +1 more
2013IEEE International Conference on Acoustics, Speech, and Signal Processing49 citations
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I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance
Simone Hantke, F. Weninger, Richard Kurle, F. Ringeval +3 more
2016PLoS ONE48 citations Open access
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Non-negative matrix factorization for highly noise-robust ASR: To enhance or to recognize?
F. Weninger, Martin Wollmer, Jürgen T. Geiger, Bjorn Schuller +4 more
2012IEEE International Conference on Acoustics, Speech, and Signal Processing47 citations Open access
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Automatic recognition of emotion evoked by general sound events
Björn Schuller, Simone Hantke, F. Weninger, W. Han +2 more
2012IEEE International Conference on Acoustics, Speech, and Signal Processing47 citations Open access
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Deep Learning Based Mandarin Accent Identification for Accent Robust ASR
F. Weninger, Yang Sun, Junho Park, D. Willett +1 more
2019Interspeech46 citations
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The MERL/MELCO/TUM system for the REVERB Challenge using Deep Recurrent Neural Network Feature Enhancement
F. Weninger, Shinji Watanabe, Jonathan Le Roux, J. Hershey +4 more
2014IEEE International Conference on Acoustics, Speech, and Signal Processing44 citations
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Affect recognition in real-life acoustic conditions - a new perspective on feature selection
F. Eyben, F. Weninger, Björn Schuller
2013Interspeech41 citations Open access
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Serious Gaming for Behavior Change: The State of Play
Björn Schuller, I. Dunwell, F. Weninger, L. Paletta
2013IEEE pervasive computing36 citations
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Memory-Enhanced Neural Networks and NMF for Robust ASR
Jürgen T. Geiger, F. Weninger, J. Gemmeke, Martin Wollmer +2 more
2014IEEE/ACM Transactions on Audio Speech and Language Processing35 citations Open access
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Affective Video Retrieval: Violence Detection in Hollywood Movies by Large-Scale Segmental Feature Extraction
F. Eyben, F. Weninger, Nicolas H. Lehment, Björn Schuller +1 more
2013PLoS ONE34 citations Open access
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Semi-Supervised Learning with Data Augmentation for End-to-End ASR
F. Weninger, F. Mana, R. Gemello, Jes'us Andr'es-Ferrer +1 more
2020Interspeech33 citations Open access
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Emotion Recognition in Naturalistic Speech and Language—A Survey
F. Weninger, M. Wöllmer, Björn Schuller
201532 citations
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Emotional Analysis of Music: A Comparison of Methods
M. Soleymani, Anna Aljanaki, Yi-Hsuan Yang, M. Caro +6 more
2014ACM Multimedia31 citations Open access
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Supervised and semi-supervised suppression of background music in monaural speech recordings
F. Weninger, Jordi Feliu, Björn Schuller
2012IEEE International Conference on Acoustics, Speech, and Signal Processing31 citations
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Optimization and Parallelization of Monaural Source Separation Algorithms in the openBliSSART Toolkit
F. Weninger, Björn Schuller
2012Journal of Signal Processing Systems28 citations
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Synthesized speech for model training in cross-corpus recognition of human emotion
Björn Schuller, Zixing Zhang, F. Weninger, F. Burkhardt
2012International Journal of Speech Technology27 citations Open access
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Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR
F. Weninger, Jesús Andrés-Ferrer, Xinwei Li, P. Zhan
2019Interspeech26 citations Open access
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The Munich LSTM-RNN Approach to the MediaEval 2014 "Emotion in Music'" Task
Eduardo Coutinho, F. Weninger, Björn Schuller, K. Scherer
2014MediaEval Benchmarking Initiative for Multimedia Evaluation26 citations
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A discriminative approach to polyphonic piano note transcription using supervised non-negative matrix factorization
F. Weninger, Christian Kirst, Björn Schuller, H. Bungartz
2013IEEE International Conference on Acoustics, Speech, and Signal Processing24 citations Open access
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A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms
C. Joder, F. Weninger, David Virette, Björn Schuller
2013IEEE International Conference on Acoustics, Speech, and Signal Processing24 citations
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YouTube Movie Reviews: In, Cross, and Open-domain Sentiment Analysis in an Audiovisual Context
M. Wöllmer, F. Weninger, T. Knaup, Björn Schuller +3 more
201321 citations
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THE MUNICH FEATURE ENHANCEMENT APPROACH TO THE 2 ND CHIME CHALLENGE USING BLSTM RECURRENT NEURAL NETWORKS
F. Weninger, Jürgen T. Geiger, M. Wöllmer, Björn Schuller +1 more
201321 citations
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Noise robust ASR in reverberated multisource environments applying convolutive NMF and Long Short-Term Memory
M. Wöllmer, F. Weninger, Jürgen T. Geiger, Björn Schuller +1 more
2013Computer Speech and Language21 citations Open access
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DUAL SYSTEM COMBINATION APPROACH FOR VARIOUS REVERBERANT ENVIRONMENTS WITH DEREVERBERATION TECHNIQUES
Yuuki Tachioka, Tomohiro Narita, F. Weninger, Shinji Watanabe
201419 citations
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