Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptation for Spoken Content Retrieval
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-89579-2_7
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4. Larson, M., Jones, G.J.F.: Spoken content retrieval: a survey of techniques and technologies. Found. Trends Inf. Retr. 4(4–5), 235–422 (2012)
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1. 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
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