Stefan Goetze

South Westphalia University of Applied Sciences — Germany

Computer Science · Physical Sciences

21h-index1.2kcitations131works2.42yr avg
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Research Topics

Speech and Audio Processing(105), Speech Recognition and Synthesis(45), Advanced Adaptive Filtering Techniques(36), Music and Audio Processing(32), Hearing Loss and Rehabilitation(31)

Publications131 total

Descriptor: Enhancing Conversations for the Hearing Impaired in the 9th Computational Hearing in Multisource Environments Challenge (CHiME9 ECHI)
IEEE data descriptions.·2025Open Access
Ensembling Synchronisation-Based and Face-Voice Association Paradigms for Robust Active Speaker Detection in Egocentric Recordings
Lecture notes in computer science·2025
Face-Voice Association for Audiovisual Active Speaker Detection in Egocentric Recordings
2025
Alzheimer’s Dementia Detection Using Perplexity from Paired Large Language Models
2025
WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features
arXiv (Cornell University)·2025Open Access
Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
arXiv (Cornell University)·2025Open Access
Speaker Embedding Informed Audiovisual Active Speaker Detection for Egocentric Recordings
2025· 2 cited
MetricGAN+KAN: Kolmogorov-Arnold Networks in Metric-Driven Speech Enhancement Systems
2025· 2 cited
Speaker Embedding Informed Audiovisual Active Speaker Detection for Egocentric Recordings
arXiv (Cornell University)·2025Open Access
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
2024· 2 citedOpen Access
Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis
2024· 20 cited
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement
2024· 3 cited
Hallucination in Perceptual Metric-Driven Speech Enhancement Networks
2024· 3 cited
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement
arXiv (Cornell University)·2024Open Access
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
arXiv (Cornell University)·2024· 1 citedOpen Access
Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis
arXiv (Cornell University)·2024Open Access
Active Learning for Sound Event Classification Using Bayesian Neural Networks with Gaussian Variational Posterior
2024· 3 cited
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models
2024· 12 cited
Hallucination in Perceptual Metric-Driven Speech Enhancement Networks
arXiv (Cornell University)·2024Open Access
Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation
2024· 4 cited
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Frequent Co-authors

Birger Kollmeier(12), Simon Doclo(11), Niko Moritz(10), Jens Schröder(8), Jens-E. Appell(8), Benjamin Cauchi(7), Jörn Anemüller(7), Feifei Xiong(7), Bernd T. Meyer(7), Timo Gerkmann(6), Thomas Hain(6), Stephan Gerlach(5), Alfred Mertins(5), Thomas Rohdenburg(5), Karl‐Dirk Kammeyer(5), Ina Kodrasi(4), Danilo Hollosi(4), Jöerg Bitzer(4), Volker Hohmann(4), Kamil Adiloğlu(4)