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Auto-regressive transformer language models have demonstrated remarkable efficacy in modelling tasks including text, vision and speech recently. We are now introducing new HD voices powered by language model-based structure. These new HD voices are designed to speak in the selected platform voice timber. And it also provides some extra value:
Human-like speech generation: Our model not only interprets the input text accurately but also understands the underlying sentiment, automatically adjusting the speaking tone to match the emotion conveyed. This dynamic adjustment happens in real-time, without the need for manual editing, ensuring that each generated output is contextually appropriate and distinct.
Conversational: The new model excels at replicating natural speech patterns, including spontaneous pauses and emphasis. When given conversational text, it faithfully reproduces common phonemes like pauses and filler words. Instead of sounding like a reading of written text, the generated voice feels as if someone is conversing directly with you.
Prosody variations: Human voices naturally exhibit variation. Every sentence spoken by a human won’t be the same as any previously spoken ones. The new system enhances realism by introducing slight variations in each output, making the speech sound even more natural.
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https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/new-hd-voices-preview-in-azure-ai-speech-contextual-and/ba-p/4258325
The text was updated successfully, but these errors were encountered: