Low-resource speech recognition and dialect identification of Irish in a multi-task framework

arXiv:2405.01293v1 Announce Type: new
Abstract: This paper explores the use of Hybrid CTC/Attention encoder-decoder models trained with Intermediate CTC (InterCTC) for Irish (Gaelic) low-resource speech recognition (ASR) and dialect identification (DID). Results are compared to the current best performing models trained for ASR (TDNN-HMM) and DID (ECAPA-TDNN). An optimal InterCTC setting is initially established using a Conformer encoder. This setting is then used to train a model with an E-branchformer encoder and the performance of both architectures are compared. A …

abstract arxiv asr attention cs.ai cs.cl cs.sd current decoder eess.as encoder encoder-decoder framework hybrid identification intermediate low paper recognition results speech speech recognition type