AI-Driven Voice Inputs for Speech Engine Testing in Conversational Systems
Abstract:
AI-driven voice inputs simulate diverse accents, speech patterns, and conversational contexts to test speech engines in real-world scenarios. By leveraging SSML tags, this approach enhances the speech recognition system's accuracy, prosody, and expressiveness. The framework offers a scalable solution to improve the performance of AI-driven voice interfaces with more natural and dynamic speech output.
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