In this article, we present an evaluation of multimodal voice models across more than 15 diverse audio tasks, comparing them with ASR LLM cascade systems to measure their generalization and performance.
The results show that multimodal solutions offer significant improvements in tasks such as speech recognition, transcription, translation, and emotion analysis.
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