Spoken Document Retrieval Leveraging Bert-Based Modeling and Query Reformulation
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9040208/9052899/09052910.pdf?arnumber=9052910
Cited by 6 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. Whisper-based spoken term detection systems for search on speech ALBAYZIN evaluation challenge;EURASIP Journal on Audio, Speech, and Music Processing;2024-02-29
2. AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
3. Improving Noise Robustness for Spoken Content Retrieval Using Semi-Supervised ASR and N-Best Transcripts for BERT-Based Ranking Models;2022 IEEE Spoken Language Technology Workshop (SLT);2023-01-09
4. A Comparative Analysis of Sentence Embedding Techniques for Document Ranking;Journal of Web Engineering;2022-12-28
5. Shallow Neural Network and Ontology-Based Novel Semantic Document Indexing for Information Retrieval;Intelligent Automation & Soft Computing;2022
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