Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures. - Nick Rossenbach; Mohammad Zeineldeen; Benedikt Hilmes; Ralf Schlüter; Hermann Ney (ASRU, 2021)

On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition. - Nick Rossenbach; Benedikt Hilmes; Ralf Schlüter (ASRU, 2023)

On the Effect of Purely Synthetic Training Data for Different Automatic Speech Recognition Architectures. - Nick Rossenbach; Benedikt Hilmes; Ralf Schlüter (CoRR, 2024)

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach. - Nick Rossenbach; Benedikt Hilmes; Leon Brackmann; Moritz Gunz; Ralf Schlüter (CoRR, 2025)

Analyzing the Importance of Blank for CTC-Based Knowledge Distillation. - Benedikt Hilmes; Nick Rossenbach; Ralf Schlüter (CoRR, 2025)

Regularizing Learnable Feature Extraction for Automatic Speech Recognition. - Peter Vieting; Maximilian Kannen; Benedikt Hilmes; Ralf Schlüter; Hermann Ney (CoRR, 2025)