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Bilingual TTS architecture sought for seamless English-Korean speech

A user is seeking the optimal architecture for a bilingual Text-to-Speech system that seamlessly integrates English and Korean within a single sentence. They are encountering issues with Azure Cognitive Services, where using a multilingual voice results in an unnatural Korean accent, and switching between separate English and Korean voices introduces disruptive pauses. The user is exploring potential SSML workarounds, alternative Azure OpenAI voices, or entirely different solutions to achieve native-sounding pronunciation for their language learning application. AI

IMPACT Developers can learn about challenges and potential solutions for implementing bilingual text-to-speech in applications.

RANK_REASON User is asking for technical advice on a specific application, not reporting on a new development.

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COVERAGE [1]

  1. r/MachineLearning TIER_1 · /u/Lumpy-Simple9185 ·

    Best architecture for seamless Bilingual TTS? (Azure / English + Korean) [D]

    <!-- SC_OFF --><div class="md"><p>Hi guys, when building a language learning app (React Native/Expo frontend, Python backend) and I’ve hit a frustrating wall with Text-to-Speech. I need the app to read sentences that mix English instructions and Korean examples (e.g., &quot;To sa…