Spoken Term Detection and Relevance Score Estimation Using Dot-Product of Pronunciation Embeddings

Author:

Švec Jan,Šmídl Luboš,Psutka Josef V.,Pražák Aleš

Publisher

ISCA

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. Asking Questions Framework for Oral History Archives;Lecture Notes in Computer Science;2024

2. Written Term Detection Improves Spoken Term Detection;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

3. Building Keyword Search System from End-To-End Asr Systems;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

5. Transformer-Based Encoder-Encoder Architecture for Spoken Term Detection;Lecture Notes in Computer Science;2023

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