Speech Processing and Understanding

The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks (2020) Schuller B, Batliner A, Bergler C, Messner EM, Hamilton A, Amiriparian S, Baird A, et al. Conference contribution, Original article Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach (2020) Seifer AK, Schinkel-Bielefeld N, Schröter H, Escalante Banuelos A, Hoppe U, Maier A Conference contribution, Conference Contribution CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding (2020) Schröter H, Rosenkranz T, Escalante Banuelos A, Aubreville M, Maier A Conference contribution, Conference Contribution CLC: Complex Linear Coding for the DNS 2020 Challenge (2020) Schröter H, Rosenkranz T, Escalante Banuelos A, Maier A Other publication type Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks (2020) Schröter H, Rosenkranz T, Escalante Banuelos A, Zobel P, Maier A Conference contribution, Original article ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning (2019) Bergler C, Schröter H, Cheng RX, Barth V, Weber M, Nöth E, Hofer H, Maier A Journal article Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users (2019) Arias Vergara T, Vasquez Correa J, Gollwitzer S, Orozco-Arroyave JR, Schuster M, Nöth E Book chapter / Article in edited volumes Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients (2019) Vasquez Correa J, Rios-Urrego CD, Rueda A, Orozco Arroyave JR, Krishnan S, Nöth E Book chapter / Article in edited volumes Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages (2019) Vasquez Correa J, Arias Vergara T, Rios-Urrego CD, Schuster M, Rusz J, Orozco Arroyave JR, Nöth E Book chapter / Article in edited volumes Segmentation, Classification, and Visualization of Orca Calls Using Deep Learning (2019) Schröter H, Nöth E, Maier A, Cheng R, Barth V, Bergler C Conference contribution, Original article