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Answer: Customize the voice font for each language using Azure Neural TTS and SSML for fine-tuning.
Azure Neural TTS provides high-quality, natural-sounding speech synthesis. Using SSML allows for fine-tuning of intonation and pronunciation, ensuring the speech sounds as natural as possible. Customizing the voice font for each language ensures that the application meets the specific requirements for each language, making option B the most appropriate choice.
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You are tasked with implementing a text-to-speech system for a multilingual application that supports over 20 languages. The application requires high-quality synthesized speech with natural-sounding intonation and pronunciation. Describe the steps you would take to ensure the text-to-speech system meets these requirements, including the use of Azure services and any necessary customization.
A
Use Azure Cognitive Services Text-to-Speech with default settings for all languages.
B
Customize the voice font for each language using Azure Neural TTS and SSML for fine-tuning.
C
Implement a custom speech synthesis model for each language from scratch.
D
Use a third-party text-to-speech API for better language support.