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Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units

Research article (2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2018) · cited 43× · AI/ML
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Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units

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Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units is a scholarly article[1].

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  • Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-ctc-attention-based-end-to-end-speech-recognition-using-subword-units
MLA “Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-ctc-attention-based-end-to-end-speech-recognition-using-subword-units.
BibTeX @misc{4ortxyz_hybrid-ctc-attention-based-end-to-end-speech-recognition-using-subword-units_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-ctc-attention-based-end-to-end-speech-recognition-using-subword-units}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units — https://4ort.xyz/entity/hybrid-ctc-attention-based-end-to-end-speech-recognition-using-subword-units (retrieved 2026-05-24)

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