WebHierarchical CTC [10, 24, 38] (HCTC ... Hierarchical multitask learning for ctc-based speech recognition. External Links: 1807.06234 Cited by: §3.4. [25] T. Kudo and J. Richardson (2024-11) SentencePiece: a simple and language independent subword tokenizer and detokenizer for neural text processing. Webnition can be improved with hierarchical multitask learning, where auxiliary tasks are added at intermediate layers of a deep encoder. We explore the effect of hierarchical multitask learning in the context of connectionist temporal classification (CTC)-based speech recog-nition, and investigate several aspects of this approach. Consistent
Hierarchical Multitask Learning for CTC-based Speech Recognition
WebBayesian Multitask Learning with Latent Hierarchies Hal Daum´e III School of Computing University of Utah Salt Lake City, UT 84112 Abstract We learn multiple hypotheses for related tasks under a latent hierarchical relationship between tasks. We exploit the intuition that for domain adaptation, we wish to share clas- WebRecent work has studied how hierarchical structures can be incorporated into neural network models for dif-ferent tasks. In the automatic speech recognition (ASR) domain, CTC-based hierarchical ASR models [38–40] em-ploy hierarchical multitask learning techniques, particu-larly by using intermediate representations output by the dampind down disease
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WebMultitask learning (MTL) approaches for end-to-end ASR systems have gained momentum in the last few years [9, 10]. Recent work introduced the use of hierarchical MTL in speech recognition with hierarchical CTC-based models [7, 11]. Per-formance gains have been obtained by combining phone-label Web17 de jul. de 2024 · 3.3 Hierarchical Multitask Training. Our primary objective is the subword-level CTC loss, applied to the softmax output after the final ( N th) encoder … Web20 de abr. de 2024 · A hierarchical multi-task approach for learning embeddings from semantic tasks. In Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33. 6949–6956 ... and Karen Livescu. 2024. Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition. arXiv preprint arXiv:1704.01631(2024 ... damping capacity in fe-mn binary alloys