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CORTIS: Text-Only Adaptation of Spoken Language Models for Voice Agents
CORTIS proposes adapting spoken language models (SLMs) directly for task-oriented voice agents to avoid errors from ASR transcription in noisy conditions. This approach maps spoken requests to structured outputs like semantic frames and function calls without relying on text transcription.
By bypassing ASR transcription, CORTIS can reduce error propagation in voice agents, improving reliability in noisy environments. This enhances the performance of task-oriented voice systems that require precise understanding of spoken commands.
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Score 64
Source Type arxiv
Reposts 0
Topic Quality 49
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