Tag
This paper introduces a scalable method using acoustic masking and ASR models to measure consonant contributions to word intelligibility, validating it against phoneme frequency and functional load across four languages.
This article discusses research on measuring benchmark optimization in speech recognition, where some ASR models may optimize for test benchmarks rather than real-world performance, and introduces tests to quantify this phenomenon.