Phonologically Informed Tokenization for German Speech Recognition: A Cross-Domain Study

arXiv:2610.11646 · cs.CL, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Tokenization — 10× in this paper · explained in 2 episodes
• Domain Shift — 6× in this paper · explained in 4 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• International Conference on Machine Learning — 1× in this paper
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Thirteenth Language Resources and Evaluation Conference — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Optimizing Two-Pass Cross-Lingual Transfer Learning: Phoneme Recognition and Phoneme to Grapheme Translation
• Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
• Canary-1B-v2 & Parakeet-TDT-0.6B-v3: Efficient and High-Performance Models for Multilingual ASR and AST
• A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models

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