questions about speech to text service ?

Hello Lewis Liu,

Thanks for your question.

See overview of its services here: https://docs.azure.cn/en-us/ai-services/speech-service/text-to-speech

1. Common Type Recognition/Pronunciation: Can Azure TTS accurately recognize and pronounce common types like dates, times, and abbreviations?: Yes it can
2. Turn Detection: No, Azure TTS does not support turn detection
3. Accents: Does Azure TTS offer customization options for regional accents or dialects within a language?: Yes  https://techcommunity.microsoft.com/blog/azure-ai-services-blog/azure-ai-speech-text-to-speech-feb-2025-updates-new-hd-voices-and-more/4387263
4. Name Recognition: How does Azure TTS handle the pronunciation of uncommon or region-specific names? Yes, Azure TTS offers a variety of regional accents and dialects within supported languages.
5. Noise: Does Azure TTS include noise suppression features for clearer audio output?: Yes, it allows customization to handle the pronunciation of uncommon or region-specific names.
6. Multilingual Support and Mixed Mode: Yes, it can
7. Streaming Support: Yes, it supports real-time streaming of synthesized speech with low latency.
8. Custom Term/Vocabulary: Yes, it allows customization of terms or vocabulary.

You can mark it 'Accept Answer' and 'Upvote' if this helped you

(Please note: If you have Priority Community support please wait for a dedicated Microsoft support representative to assist you, as they have access to the necessary backend resources. If you have not yet opened a support case, we recommend reaching out through the support channel available under your subscription level.)

Regards,

Abiola

Hello Lewis Liu,

You can try optimizing the above mention areas as follows:

1. Name Recognition: Sometimes, the system makes mistakes in recognizing names within email addresses. For example, "******@outlook.com" is often returned as "louis dot leo at outlook.com" or "******@outlook.com." How can I optimize this?
   Solution: In order to improve name recognition, you can use a custom model trained specifically on email address data. Additionally, implementing a post-processing step to validate and correct recognized names based on common patterns in email addresses can help reduce errors.
   Ref. doc: https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/overview?form=MG0AV3
2. Noise: My application operates in street environments with significant background noise. The base model does not perform well in these conditions. Should I use a custom model trained with noise data?
   Solution: Yes, using a custom model trained with noise data is a great approach. You can collect audio samples from street environments and use them to train a custom model. This will help the system adapt to noisy conditions and improve its performance.
   Ref. doc: https://learn.microsoft.com/en-us/azure/ai-services/speech-service/professional-voice-create-training-set?pivots=speech-studio
3. Multilingual Support and Mixed Mode: Could you please share the link on how to enable Multilingual Support? My application may involve Chinese, English, and Russian, and sometimes multiple languages may appear in a single sentence.
   Solution: Azure AI provides multilingual support for various languages, including Chinese, English, and Russian. You can find detailed information on enabling multilingual support here and here. For mixed-mode scenarios, ensure your model is trained with examples that include multiple languages in a single sentence.
   Ref. doc: https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?view=doc-intel-4.0.0&form=MG0AV3&tabs=printed
4. Custom Term/Vocabulary: Yes, the system allows customization of terms or vocabulary. Should I use a phrase list or a custom model to address this?
   Solution: If your application requires specific terms or vocabulary, using a phrase list can be effective for simple scenarios. However, for more complex requirements, a custom model trained with your specific terms and vocabulary will provide better results.
   Ref. doc: https://learn.microsoft.com/en-us/azure/ai-services/speech-service/improve-accuracy-phrase-list?form=MG0AV3&tabs=terminal&pivots=programming-language-csharp

I hope this solves your difficulties. Please feel free to reach us, if you have further queries.