A spoken large language model learns to judge its own transcription difficulty and routes only hard speech to a stronger ASR model, cutting cost and improving word error rate.
ML- SUPERB: multilingual speech universal performance bench- mark,
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Selective Invocation for Multilingual ASR: A Cost-effective Approach Adapting to Speech Recognition Difficulty
A spoken large language model learns to judge its own transcription difficulty and routes only hard speech to a stronger ASR model, cutting cost and improving word error rate.