FL
Fernando L\'opez, Jordi Luque
· 1 min read
ResearcharXiv cs.CL
TID System for Speech-COSER Challenge 2026: ASR Track
arXiv:2611.11497v1 Announce Type: new
Abstract: We describe the system submitted by Telef\'onica Innovaci\'on Digital to the Speech-COSER Challenge 2026, which features spontaneous speech from elderly speakers recorded in rural Spain. For ASR, we perform CTC-based pseudo-forced alignment scores audio-text match quality to guide a two-stage LoRA curriculum, followed by post-hoc magnitude pruning of the LoRA matrices to enhance generalization. An ensemble of seven systems combined via ROVER achieves 36.25\% unnormalized and 22.17\% normalized WER.
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This story was published by arXiv cs.CL and written by Fernando L\'opez, Jordi Luque. SyncAI.news shows a preview; the complete article is on the publisher's site.
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