World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8599
World Ranking
8723
National Ranking
3733

Overview

Felix Weninger is affiliated with Nuance Communications in the United States, specializing in research primarily within the field of computer science. Their work focuses on several subfields including signal processing, artificial intelligence, oceanography, computer vision and pattern recognition, and mechanics of materials.

The scientist's research covers a range of topics related to speech and audio technologies. Key areas include speech and audio processing, speech recognition and synthesis, blind source separation techniques, music and audio processing, underwater acoustics research, ultrasonics and acoustic wave propagation, and machine learning and ELM.

Weninger has contributed to multiple scientific publications, with several papers published in notable venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • Interspeech 2022

Among the recent papers authored by Weninger are:

  • Conformer with dual-mode chunked attention for joint online and offline ASR, 2022, Interspeech 2022
  • Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • Semi-Supervised Learning with Data Augmentation for End-to-End ASR, 2020, arXiv (Cornell University)
  • Conformer with dual-mode chunked attention for joint online and offline ASR, 2022, arXiv (Cornell University)

Frequent collaborators in Weninger's work include Puming Zhan, Marco Gaudesi, Jesús Andrés-Ferrer, Roberto Gemello, and Md Akmal Haidar.

The scientist's publication record indicates a substantial focus on signal processing and artificial intelligence within the broader computer science discipline. Their engagement with both theoretical and applied aspects of speech and audio processing demonstrates integration of multiple specialized fields.

Best Publications

  • Recent developments in openSMILE, the munich open-source multimedia feature extractor

    Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller

  • The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Alessandro Vinciarelli

  • Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

  • YouTube Movie Reviews: Sentiment Analysis in an Audio-Visual Context

    M. Wollmer;F. Weninger;T. Knaup;B. Schuller

  • Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

    John R. Hershey;Jonathan Le Roux;Felix Weninger

  • On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common

    Felix Weninger;Florian Eyben;Björn W. Schuller;Björn W. Schuller;Marcello Mortillaro

  • Discriminatively trained recurrent neural networks for single-channel speech separation

    Felix Weninger;John R. Hershey;Jonathan Le Roux;Bjorn Schuller

  • The INTERSPEECH 2012 Speaker Trait Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Elmar Nöth

  • Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

    Florian Eyben;Felix Weninger;Stefano Squartini;Bjorn Schuller

  • Introducing CURRENNT: the Munich open-source CUDA recurrent neural network toolkit

    Felix Weninger;Johannes Bergmann;Björn Schuller

  • The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's & Eating Condition

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Simone Hantke

  • Deep NMF for speech separation

    Jonathan Le Roux;John R. Hershey;Felix Weninger

  • Single-channel speech separation with memory-enhanced recurrent neural networks

    Felix Weninger;Florian Eyben;Björn W. Schuller

  • Unsupervised learning in cross-corpus acoustic emotion recognition

    Zixing Zhang;Felix Weninger;Martin Wollmer;Bjorn Schuller

  • Discriminative NMF and its application to single-channel source separation

    Felix Weninger;Jonathan Le Roux;John R. Hershey;Shinji Watanabe

  • YouTube Movie Reviews: In, Cross, and Open-domain Sentiment Analysis in an Audiovisual Context

    M. Wöllmer;F. Weninger;T. Knaup;B. Schuller

  • Deep Recurrent De-Noising Auto-Encoder and blind de-reverberation for reverberated speech recognition

    Felix Weninger;Shinji Watanabe;Yuuki Tachioka;Björn W. Schuller

  • Robust Speech Recognition using Long Short-Term Memory Recurrent Neural Networks for Hybrid Acoustic Modelling

    Jürgen T. Geiger;Zixing Zhang;Felix Weninger;Björn W. Schuller

  • Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote?

    Björn W. Schuller;Zixing Zhang;Felix Weninger;Gerhard Rigoll

  • A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge

    Björn W. Schuller;Björn W. Schuller;Stefan Steidl;Anton Batliner;Anton Batliner;Elmar Nöth;Elmar Nöth

  • Real-Time speech separation by semi-supervised nonnegative matrix factorization

    Cyril Joder;Felix Weninger;Florian Eyben;David Virette

  • Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection

    Erik Marchi;Fabio Vesperini;Felix Weninger;Florian Eyben

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Florian Eyben
Florian Eyben Technical University of Munich
Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
John R. Hershey
John R. Hershey Google (United States)
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Shinji Watanabe
Shinji Watanabe Carnegie Mellon University
Jonathan Le Roux
Jonathan Le Roux Mitsubishi Electric (United States)

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