According to @OpenAI, audio tags such as [sarcastic], [whispers], [excited], or [strong French accent] are powerful tools to fine-tune AI voice delivery in generative models. These tags allow developers to select voices that match the intended emotional tone and context, resulting in more engaging and relevant user interactions. For businesses, this enables the creation of personalized customer experiences, dynamic virtual assistants, and differentiated audio branding strategies. However, the effectiveness of each tag depends on the voice model's capabilities, as not all voices can convincingly portray every tag. This presents opportunities for AI vendors to develop more versatile voice models and for enterprises to leverage tailored audio delivery for customer engagement, as highlighted by OpenAI's recent developer documentation (source: OpenAI developer guides, 2024-05).