iMTI-Net combines Whisper embeddings with uncertainty-proxy statistics and a CNN-sLSTM backbone to improve non-intrusive speech intelligibility prediction on TMHINT-QI(S).
InQSS: A speech intelli- gibility and quality assessment model using a multi- task learning network,
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Speech Intelligibility Assessment with Uncertainty-Aware Whisper Embeddings and sLSTM
iMTI-Net combines Whisper embeddings with uncertainty-proxy statistics and a CNN-sLSTM backbone to improve non-intrusive speech intelligibility prediction on TMHINT-QI(S).