Albert Zeyer
1 indexed paper
Recent (6 mo)
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126
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NLP×1Audio and Speech Processing×1
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2026
Revisiting the Relation Between Language Model Perplexity and ASR Word Error Rate for Modern End-to-End Speech Recognition
This paper investigates the relationship between language model perplexity and word error rate in modern automatic speech recognition systems, studying the impact of external language models, encoder context length, and large language models.
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Papers
cs.CLeess.ASEmpiricalRecentJul 6, 2026
Revisiting the Relation Between Language Model Perplexity and ASR Word Error Rate for Modern End-to-End Speech Recognition
Mohammad Zeineldeen, Albert Zeyer, Haoran Zhang, Robin Schmitt +2 more
This paper investigates the relationship between language model perplexity and word error rate in modern automatic speech recognition systems, studying the impact of external language models, encoder…
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