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New Advances in Audio Signal Processing
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In the era of digitalization, audio signal processing is gaining peculiar relevance as an automation and remote analysis means, also considering its enhancement by novel artificial intelligence (AI) techniques. This Reprint aims to offer an overview of the current developments in all fields that revolve around audio processing: from advancements in the acoustic domain to deep learning architectures for the audio-based analysis of real-world problems such as pitch detection or pathology identification.
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Keywords
- acoustic contrast
- Acoustic imaging
- acoustic nozzle
- AI diagnostics
- Algorithm
- annoyance
- aperiodic sparse planar arrays
- array effort
- array processing
- Audio processing
- audio signal processing
- audio signal spectrum
- auto-tune
- automatic construction site monitoring (ACSM)
- continuous wavelet transform (CWT)
- convolutional neural network
- convolutional neural network (CNN)
- COVID-19 screening
- data-independent 3-D digital beamforming
- deep learning
- dolphin whistle
- ensemble
- environmental sound classification (ESC)
- F0
- filter bank
- filter-and-sum beamforming
- fire protection equipment
- halocarbon compound
- household appliance noise
- inert gas
- low-cost acoustic camera
- microphone arrays
- miniaturization
- Perception
- personal audio system
- pitch detection
- pooling
- psychoacoustics
- reconstruction error
- recurrent neural networks
- robust super directive beamforming
- room impulse response
- room reverberation
- scalogram
- sensor mismatches
- sound event detection
- sound field control
- sound pressure level
- sound quality
- spectrogram classification
- Speech Recognition
- thema EDItEUR::U Computing and Information Technology
- thema EDItEUR::U Computing and Information Technology::UY Computer science
- u-net
- vacuum cleaner noise
- weakly supervised learning
Links
DOI: 10.3390/books978-3-7258-1060-4Editions