Speech and Audio Processing

Speech and Audio Processing is a research topic within Signal Processing. Science Explorer counts 64k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advances in speech enhancement techniques, including audio-visual speech recognition, deep learning methods, noise reduction, source separation, reverberation handling, objective quality measures, beamforming, and lipreading. The papers cover a wide range of topics related to improving the quality and intelligibility of speech signals in various challenging acoustic environments.

• Speech Enhancement
• Audio-Visual Speech Recognition
• Deep Learning
• Noise Reduction
• Source Separation
• Reverberation
• Objective Quality Measures
• Beamforming
• Lipreading
• Neural Networks