NoaLingua Glossary
Speech recognition (ASR) — the NoaLingua glossary
Automatic speech recognition converts spoken audio into text.
For language learners it has two uses: transcribing material that has no subtitles, and checking whether what you said matches what you meant to say.
Both are less reliable than they appear. Recognition accuracy drops on accented speech — which is precisely what a learner produces — and on proper nouns, which is precisely what subtitles are most useful for. A low pronunciation score can mean the recogniser misheard rather than that you mispronounced.
Where this shows up in NoaLingua
Sources
Research and official documentation used for this definition.
- Research The impact of non-native English speakers’ phonological and prosodic features on ASR accuracy Speech Communication, 2024
Why browser speech-recognition output can reflect recogniser limitations as well as a learner’s pronunciation.
- First-hand product evidence Shadowing and pronunciation practice: product evidence and limits NoaLingua feature documentation
Plain captures of the speaking turn and missed-word result, plus the boundary on what the score can mean.
Related terms
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