Unlock 13% Better Speech Recognition: How Label-Context-Dependent ILM Estimation Shatters CTC Limits
Connectionist Temporal Classification (CTC) powers countless speech recognition systems. But here’s the dirty secret: its “context-independent” assumption is a myth. Modern encoders do learn context-dependent patterns, and ignoring this wastes potential. This paper reveals how to harness this hidden power, slashing word error rates (WER) by over 13% in cross-domain tasks. If your ASR system uses CTC, this […]
