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
- Research works
- 64k fractional, since 1950
- In the world top 10%
- 6.4k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +22% the tick is no change
- Largest producer
China
44% of the 10 largest, 2022-now
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