End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios-Reference-Cited by-同舟云学术

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End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios

Published:2019-09-15 Issue: Volume: Page:
ISSN:
Container-title:Interspeech 2019
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Author:

Bhosale Swapnil,Sheikh Imran,Dumpala Sri Harsha,Kopparapu Sunil Kumar

Publisher

ISCA

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Feature Extraction for Sound Recognition Using Combined Constant-Q Transform (CQT) and Mel Spectrogram for CNN Input;2023 International Conference on Modeling & E-Information Research, Artificial Learning and Digital Applications (ICMERALDA);2023-11-24

2. Semantic Enrichment Towards Efficient Speech Representations;INTERSPEECH 2023;2023-08-20

3. Specialized Semantic Enrichment of Speech Representations;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

4. Benefits of pre-trained mono- and cross-lingual speech representations for spoken language understanding of Dutch dysarthric speech;EURASIP Journal on Audio, Speech, and Music Processing;2023-04-07

5. On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09

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