This study aims to examine how theoretical problems in speech recognition models manifest as recognition errors in actual speech recognition situations, with a particular focus on the issues of context dependency and acoustic ambiguity. To this end, we conducted 376,830 seconds of speech recognition experiments and discussed how context dependency in speech recognition models leads to errors when contextual information becomes unstable due to homophonic forms, decreases recognition performance for low-frequency words and proper nouns, and causes overcorrection problems in phonemic restoration based on context. We also argued that acoustic ambiguity results in recognition errors between final consonants and in the speaker identification domain based on individual acoustic characteristics, leading to numerous recognition errors.