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About Deep Representation Learning in Speech Processing Challenges, Recent Advances, and Future Trends
This document summarizes recent advances in deep representation learning for speech processing. It discusses how representation learning techniques can learn intermediate representations of speech that are better suited for tasks like classification compared to traditional hand-engineered features. The document provides an overview of representation learning in three key applications: automatic speech recognition, speaker recognition, and speech emotion recognition. It aims to bridge gaps in prior reviews by focusing specifically on representation learning from speech across these different areas.
Detailed Information
| Author: | ['Andres Calvo'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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