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Cross-Attention End-to-End ASR for Two-Party Conversations

Research article (Interspeech 2019, 2019) · cited 14× · AI/ML
academia openalex:W2972430654
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Cross-Attention End-to-End ASR for Two-Party Conversations

Summary

Cross-Attention End-to-End ASR for Two-Party Conversations is a scholarly article[1].

Key Facts

  • Cross-Attention End-to-End ASR for Two-Party Conversations's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Cross-Attention End-to-End ASR for Two-Party Conversations. Retrieved May 24, 2026, from https://4ort.xyz/entity/cross-attention-end-to-end-asr-for-two-party-conversations
MLA “Cross-Attention End-to-End ASR for Two-Party Conversations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cross-attention-end-to-end-asr-for-two-party-conversations.
BibTeX @misc{4ortxyz_cross-attention-end-to-end-asr-for-two-party-conversations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cross-Attention End-to-End ASR for Two-Party Conversations}}, year = {2026}, url = {https://4ort.xyz/entity/cross-attention-end-to-end-asr-for-two-party-conversations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cross-Attention End-to-End ASR for Two-Party Conversations — https://4ort.xyz/entity/cross-attention-end-to-end-asr-for-two-party-conversations (retrieved 2026-05-24)

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