TRADE: Transducer-Augmented Decoder for Speech LLM
Researchers have introduced TRADE, a novel architecture for speech Large Language Models designed to enable efficient streaming inference. By integrating a transducer branch with an LLM, TRADE achieves frame-synchronous acoustic alignment while retaining the LLM's linguistic reasoning capabilities. This approach allows for accurate, streamable, and long-form speech processing, demonstrated by competitive Word Error Rates on various benchmarks and improved end-of-utterance detection. AI
IMPACT Enables real-time speech processing and more accurate end-of-utterance detection for LLM-based applications.
