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Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

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DataCite Commons2026-01-07 更新2025-04-16 收录
下载链接:
https://service.tib.eu/ldmservice/dataset/15b49373-16b4-458b-82b5-9e0f384ad662
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资源简介:
The proposed hierarchical conditional model of end-to-end ASR. The model is trained by gradually increasing the subword units for CTC losses applied to intermediate layers.
提供机构:
TIB
创建时间:
2024-12-16
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