Sometimes we receive the error "Multiple languages were identified. A single dominant language could not be determined" when using the Fast Transcription API with language identification enabled. How can we avoid receiving such responses?

Arshak Muradyan 0 Reputation points
2025-10-22T13:14:26.38+00:00

Sometimes we receive the error "Multiple languages were identified. A single dominant language could not be determined" and "``No language was identified``"when using the Fast Transcription API with language identification enabled. How can we avoid receiving such responses?

Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
0 comments No comments
{count} votes

1 answer

Sort by: Most helpful
  1. Sridhar M 1,220 Reputation points Microsoft External Staff Moderator
    2025-10-22T13:39:07.3833333+00:00

    Hi Arshak Muradyan

    Welcome to Microsoft Q&A and Thank you for reaching out.

    Fast Transcription API when it's trying to identify languages. The errors "Multiple languages were identified. A single dominant language could not be determined" and "No language was identified"

    Here are some steps you can take to help avoid these responses:

    1. Keep Your SDK Updated: Always ensure that you're using the latest version of the Speech SDK. This ensures you get the latest fixes and enhancements related to language identification.
    2. Optimize Audio Input: Check if the audio format you're using is suitable. High-quality audio recordings generally yield better results in terms of recognition accuracy.
    3. Specify the Locale: If you know the predominant language of your audio, specifying the locale can significantly improve accuracy. This helps the Speech service to focus and not get confused with other languages.
    4. Leverage Translation Recognizer: Using a translation recognizer can also help manage multilingual content effectively. It’s designed to handle continuous translation and can help with language identification.
    5. Refine Recognizer Configuration: Make adjustments to your recognizer settings for continuous recognition to better handle potential errors.
    6. Longer Inputs: Language detection works better with longer phrases or sentences. If the audio has short snippets or is fragmented, it may lead to incorrect identification.

    Reference:

    https://free.blessedness.top/en-us/azure/ai-services/speech-service/language-identification?tabs=once&pivots=programming-language-csharp

    https://free.blessedness.top/en-us/azure/ai-services/speech-service/fast-transcription-create?tabs=locale-specified

    https://free.blessedness.top/en-us/azure/ai-foundry/responsible-ai/language-service/transparency-note-language-detection

    If this answers your query, please do click Accept Answer and Yes for was this answer helpful.

    Thank you!


Your answer

Answers can be marked as 'Accepted' by the question author and 'Recommended' by moderators, which helps users know the answer solved the author's problem.