Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems

Research article (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020) · cited 57× · AI/ML
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Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems

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Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/leveraging-unpaired-text-data-for-training-end-to-end-speech-to-intent-systems
MLA “Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/leveraging-unpaired-text-data-for-training-end-to-end-speech-to-intent-systems.
BibTeX @misc{4ortxyz_leveraging-unpaired-text-data-for-training-end-to-end-speech-to-intent-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems}}, year = {2026}, url = {https://4ort.xyz/entity/leveraging-unpaired-text-data-for-training-end-to-end-speech-to-intent-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems — https://4ort.xyz/entity/leveraging-unpaired-text-data-for-training-end-to-end-speech-to-intent-systems (retrieved 2026-05-24)

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