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update verbiage based on feedback from takuya
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fern/pages/faq/async/how-does-language-detection-work-for-transcriptions.mdx

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This approach helps ensure that the language detection is based on a representative sample of the audio, rather than just the beginning or end portions which may contain greetings, silence, or other non-representative speech.
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If you are seeing low confidence scores for transcriptions in a particular language, it may be due to factors like background noise, accents, or audio quality issues. Our transcription models perform best with clear audio recorded in a quiet environment.
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If you are seeing low confidence scores for transcriptions in a particular language, it may be due to factors like background noise, accents, or audio quality issues.

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