WebStrubell et al.(2024) POS, DEP, SRL Hierarchical Keskar et al.(2024) GLUE, MRC Shared Encoder Sanh et al.(2024) NER, EMD, CR, RE Hierarchical Xu et al.(2024) MRC (multiple datasets) Shared Encoder Liu et al.(2024) GLUE Shared Encoder + Hierarchical Stickland and Murray(2024) GLUE Adaptive Table 1: Some works on applying multitask learning … Web21 de dez. de 2024 · Similarity learning is often adopted as an auxiliary task of deep multitask learning methods to learn discriminant features. Most existing approaches …
HIERARCHICAL MULTITASK LEARNING FOR CTC-BASED SPEECH …
Web18 de jul. de 2024 · Hierarchical Multi Task Learning With CTC. In Automatic Speech Recognition, it is still challenging to learn useful intermediate representations when using of high-level (or abstract) target units such as words. Character or phoneme based systems tend to outperform word based systems as long as thousands of hours of training data … Web30 de out. de 2024 · Hierarchical ADPSGD: This combines the previous method with knowledge of the architecture. Since the within-node bandwidth is high, use SPSGD, and for the inter-node communication, use ADPSGD. With these improvements, training time for the 2000h SWBD can be reduced from 192 hours to 5.2 hours, and batch size can be … daily allowance saturated fat
Hierarchical Multitask Learning for CTC-based Speech Recognition
Web17 de jul. de 2024 · Previous work has shown that neural encoder-decoder speech recognition can be improved with hierarchical multitask learning, where auxiliary tasks … 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 WebPrevious work has shown that neural encoder-decoder speech recognition 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 recognition, and investigate … daily altcoin news