DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement: A Survey of the State of the Art

This comprehensive survey delves into the advancements in single-microphone noise reduction techniques, specifically focusing on their application in speech enhancement. As technology continues to evolve, devices such as mobile phones, voice-controlled gadgets, and hearing aids have become ubiquitous, resulting in an increasing demand for clear and intelligible speech output in noisy environments.

The authors present a thorough analysis of the current state-of-the-art methodologies that leverage DFT-domain processes for enhancing speech signals. They dissect various approaches to noise reduction, explaining their mechanisms, strengths, and weaknesses. By providing insights into effective algorithms and techniques, the work aims to bridge the gap between theoretical knowledge and practical application.

Moreover, the text highlights challenges faced in the field, including the inherent complexities of real-world noise and the need for adaptable solutions suitable for diverse environments. Each section is meticulously crafted to provoke thought and inspire further research in the domain of audio processing.

With its rigorous examination of techniques and trends, this survey serves as an invaluable resource for researchers, engineers, and students interested in exploring the intricacies of speech enhancement and noise reduction technologies.