Signal Processing and Speech Communication Laboratory
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Matthias Zöhrer

Room number
IDEG046
Telephone number
  • office: +43 (316) 873 - 4376
Email
matthias.zoehrer@tugraz.at
Student Projects
PhD Theses
Publications
  • Working paper Roth W., Schindler G., Zöhrer M., Pfeifenberger L., Peharz R., Tschiatschek S., Fröning H., Pernkopf F. & Ghahramani Z. (2019) Resource-Efficient Neural Networks for Embedded Systems.. [more info]
  • Conference contribution Pfeifenberger L., Zöhrer M. & Pernkopf F. (2019) Deep Complex-valued Neural Beamformers. in International Conference on Acoustics, Speech and Signal Processing (ICASSP). [more info]
  • Article Pfeifenberger L., Zöhrer M. & Pernkopf F. (2019) Eigenvector-based Speech Mask Estimation for Multi- Channel Speech Enhancement. in IEEE ACM Transactions on Audio Speech and Language Processing, 2019. [more info]
  • Article Messner E., Zöhrer M. & Pernkopf F. (2018) Heart Sound Segmentation - An Event Detection Approach using Deep Recurrent Neural Networks. in IEEE transactions on biomedical engineering, 65(9). [more info]
  • Conference contribution Schindler G., Zöhrer M., Pernkopf F. & Fröning H. (2018) Towards Efficient Forward Propagation on Resource-Constrained Systems. in European Conference on Machine Learning (ECML). [more info]
  • Conference contribution Zöhrer M., Pfeifenberger L., Schnindler G., Fröning H. & Pernkopf F. (2018) Resource Efficient Deep Eigenvector Beamforming. in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 3354-3358). [more info] [doi]
  • Conference contribution Pfeifenberger L., Zöhrer M. & Pernkopf F. (2017) Eigenvector-based Speech Mask Estimation using a Logistic Regression for Multi-Channel Speech Enhancement. in Interspeech. [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2017) Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. in Interspeech. [more info]
  • Conference contribution Pfeifenberger L., Zöhrer M. & Pernkopf F. (2017) DNN-based Speech Mask Estimation for Eigenvector Beamforming. in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). [more info]
  • Conference contribution Schrank T., Pfeifenberger L., Zöhrer M., Stahl J., Mowlaee Beikzadehmahaleh P. & Pernkopf F. (2016) Deep Beamforming and Data Augmentation for Robust Speech Recognition: Results of the 4th CHiME Challenge. in CHiME 4 Workshop. [more info]
  • Conference contribution Pokorny F., Peharz R., Roth W., Zöhrer M., Pernkopf F., Marschik P. & Schuller B. (2016) Manual Versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. in Interspeech. [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2016) Gated Recurrent Networks applied to Acoustic Scene Classification. in EUSIPCO. [more info]
  • Conference contribution Zöhrer M., Pernkopf F. & Peharz R. (2015) On Representation Learning for Artificial Bandwidth Extension. in INTERSPEECH-2015 (pp. 791-795). [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2015) REPRESENTATION MODELS IN SINGLE CHANNEL SOURCE SEPARATION. in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 713-717). [more info] [doi]
  • Conference contribution Pfeifenberger L., Schrank T., Zöhrer M., Hagmüller M. & Pernkopf F. (2015) Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME Challenge results. in IEEE Workshop on Automatic Speech Recognition & Understanding. [more info]
  • Article Zöhrer M., Pernkopf F. & Peharz R. (2015) Representation Learning for Single-Channel Source Separation and Bandwidth Extension. in IEEE transactions on audio, speech and language processing, 23(12), p. 2398-2409. [more info] [doi]
  • Conference contribution Zöhrer M. & Pernkopf F. (2014) Single-Channel Source Separation with General Stochastic Networks. in Interspeech - International Conference on Spoken Language Processing (pp. x-x). [more info]
  • Conference contribution Zöhrer M. & Pernkopf F. (2014) General Stochastic Networks for Classication. in Annual Conference on Neural Information Processing Systems (pp. x-x). [more info]