Evaluation of perceptual properties of phase-mode beamforming in the context of data-based binaural synthesis. - Sascha Spors; Hagen Wierstorf (ISCCSP, 2012)

Spatial Sound With Loudspeakers and Its Perception: A Review of the Current State. - Sascha Spors; Hagen Wierstorf; Alexander Raake; Frank Melchior; Matthias Frank 003; Franz Zotter (Proc. IEEE, 2013)

Spatial Audio Rendering. - Matthias Frank 003; Franz Zotter; Hagen Wierstorf; Sascha Spors (Quality of Experience, 2014)

A machine-hearing system exploiting head movements for binaural sound localisation in reverberant conditions. - Ning Ma 002; Tobias May; Hagen Wierstorf; Guy J. Brown (ICASSP, 2015)

Colouration in 2.5D local wave field synthesis using spatial bandwidth-limitation. - Fiete Winter; Christoph Hold; Hagen Wierstorf; Alexander Raake; Sascha Spors (WASPAA, 2017)

Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation. - Emad M. Grais; Hagen Wierstorf; Dominic Ward; Mark D. Plumbley (LVA/ICA, 2018)

BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation. - Dominic Ward; Hagen Wierstorf; Russell D. Mason; Emad M. Grais; Mark D. Plumbley (ICASSP, 2018)

Colouration in Local Wave Field Synthesis. - Fiete Winter; Hagen Wierstorf; Christoph Hold; Frank Krüger 001; Alexander Raake; Sascha Spors (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks. - Emad M. Grais; Hagen Wierstorf; Dominic Ward; Russell Mason; Mark D. Plumbley (EUSIPCO, 2019)

Probing speech emotion recognition transformers for linguistic knowledge. - Andreas Triantafyllopoulos; Johannes Wagner 001; Hagen Wierstorf; Maximilian Schmitt; Uwe D. Reichel; Florian Eyben; Felix Burkhardt; Björn W. Schuller (INTERSPEECH, 2022)

Nkululeko: A Tool For Rapid Speaker Characteristics Detection. - Felix Burkhardt; Johannes Wagner 001; Hagen Wierstorf; Florian Eyben; Björn W. Schuller (LREC, 2022)

A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning. - Felix Burkhardt; Anabell Hacker; Uwe D. Reichel; Hagen Wierstorf; Florian Eyben; Björn W. Schuller (LREC, 2022)

audb - Sharing and Versioning of Audio and Annotation Data in Python. - Hagen Wierstorf; Johannes Wagner 001; Florian Eyben; Felix Burkhardt; Björn W. Schuller (CoRR, 2023)

Speech-based Age and Gender Prediction with Transformers. - Felix Burkhardt; Johannes Wagner 001; Hagen Wierstorf; Florian Eyben; Björn W. Schuller (CoRR, 2023)

Testing Speech Emotion Recognition Machine Learning Models. - Anna Derington; Hagen Wierstorf; Ali Özkil; Florian Eyben; Felix Burkhardt; Björn W. Schuller (CoRR, 2023)

Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap. - Johannes Wagner 001; Andreas Triantafyllopoulos; Hagen Wierstorf; Maximilian Schmitt; Felix Burkhardt; Florian Eyben; Björn W. Schuller (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition. - Dionyssos Kounadis-Bastian; Oliver Schrüfer; Anna Derington; Hagen Wierstorf; Florian Eyben; Felix Burkhardt; Björn W. Schuller (CoRR, 2024)