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About Ieee Icaicta Edited
This document discusses using transfer learning to improve automatic speech recognition (ASR) performance in the lecture domain by utilizing existing models from the news domain as source models. It presents 3 systems - one using only the news domain, one using only the lecture domain, and one combining both domains via transfer learning. The system combining both domains via transfer learning achieved the best word error rate, demonstrating transfer learning is an effective approach for building ASR models when large amounts of domain-specific data is unavailable.
Detailed Information
| Author: | ['Iftitakhul Zakiyah'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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