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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
Published on: March 24, 2023
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A Survey on Low-Latency DNN-Based Speech Enhancement
1Institute of Automatic Control and Robotics, Poznan University of Technology, Piotrowo 3A Street, 60-965 Poznan, Poland.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
This study explores deep neural networks for low-latency speech enhancement. It analyzes network constraints and techniques used in top challenges like DNS and Clarity for improved performance.
Area of Science:
- Speech processing
- Artificial intelligence
- Machine learning
Background:
- Low-latency speech enhancement is crucial for real-time applications.
- Deep neural networks (DNNs) offer powerful solutions but face latency challenges.
- Understanding constraints in DNN architectures is key for efficient speech enhancement.
Purpose of the Study:
- To review recent advancements in low-latency, single-channel DNN-based speech enhancement.
- To analyze latency sources, acceptable values, and architectural constraints for DNNs.
- To compare techniques from leading speech enhancement challenges (DNS, Clarity).
Main Methods:
- Analysis of latency sources and acceptable thresholds in various applications.
- Examination of causal units in DNNs, focusing on parameters, receptive field, and complexity.
- Discussion of methods to reduce computational and memory demands in DNNs.
Main Results:
- Identification of key constraints in DNN architectures for low-latency speech enhancement.
- Presentation of techniques to optimize DNNs for reduced complexity and memory usage.
- Comparison of successful strategies employed in recent DNS and Clarity challenges.
Conclusions:
- Optimized DNN architectures and techniques are essential for effective low-latency speech enhancement.
- Understanding architectural constraints and computational trade-offs is vital for real-time applications.
- Insights from leading challenges provide practical guidance for developing advanced speech enhancement systems.
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