5 Papers at Interspeech 2022

15 June 2022, by Timo Gerkmann

We are happy to announce 5 papers on speech enhancement and emotion recognition for Interspeech 2022 in Korea. Hope to see you there!

Methods include

• Score-based Generative Models
• Bayesian Deep Neural Networks
• Deep Kalman Filtering
• End-to-end learning

Applications include

• Multichannel Speech Enhancement
• Single Channel Speech Enhancement
• Dereverberation
• Emotion Recognition

Please find more details under "publications" / Peer-reviewed Conferences

• Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann, "On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement", Interspeech, Incheon, Korea, Sep. 2022
• Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann, "End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks", Interspeech, Incheon, Korea, Sep. 2022
• Simon Welker, Julius Richter, Timo Gerkmann, "Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain", Interspeech, Incheon, Korea, Sep. 2022
• Danilo de Oliveira, Tal Peer, Timo Gerkmann, "Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes", Interspeech, Incheon, Korea, Sep. 2022
• Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann, "Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environment", Interspeech, Incheon, Korea, Sep. 2022