New Advances in Audio Signal Processing
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 rev...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Acesso em linha: | ONIX_20240704_9783725810598_83 |
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| _version_ | 1869525590067904512 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-139287 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1392872024-07-04T09:36:58Z New Advances in Audio Signal Processing Costantini, Giovanni Casali, Daniele fire protection equipment acoustic nozzle inert gas halocarbon compound sound pressure level AI diagnostics COVID-19 screening deep learning speech recognition room reverberation room impulse response recurrent neural networks audio signal spectrum filter bank sound quality annoyance perception psychoacoustics vacuum cleaner noise household appliance noise sound event detection U-Net weakly supervised learning pooling convolutional neural network dolphin whistle ensemble spectrogram classification pitch detection F0 algorithm auto-tune audio signal processing acoustic imaging microphone arrays robust super directive beamforming array processing miniaturization aperiodic sparse planar arrays filter-and-sum beamforming data-independent 3-D digital beamforming low-cost acoustic camera sensor mismatches personal audio system sound field control acoustic contrast reconstruction error array effort automatic construction site monitoring (ACSM) environmental sound classification (ESC) convolutional neural network (CNN) continuous wavelet transform (CWT) scalogram audio processing thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science 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. 2024-07-04T09:36:51Z 2024-07-04T09:36:51Z 2024 book ONIX_20240704_9783725810598_83 9783725810598 9783725810604 https://directory.doabooks.org/handle/20.500.12854/139287 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9283 https://mdpi.com/books/pdfview/book/9283 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1060-4 10.3390/books978-3-7258-1060-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725810598 9783725810604 206 open access |
| spellingShingle | fire protection equipment acoustic nozzle inert gas halocarbon compound sound pressure level AI diagnostics COVID-19 screening deep learning speech recognition room reverberation room impulse response recurrent neural networks audio signal spectrum filter bank sound quality annoyance perception psychoacoustics vacuum cleaner noise household appliance noise sound event detection U-Net weakly supervised learning pooling convolutional neural network dolphin whistle ensemble spectrogram classification pitch detection F0 algorithm auto-tune audio signal processing acoustic imaging microphone arrays robust super directive beamforming array processing miniaturization aperiodic sparse planar arrays filter-and-sum beamforming data-independent 3-D digital beamforming low-cost acoustic camera sensor mismatches personal audio system sound field control acoustic contrast reconstruction error array effort automatic construction site monitoring (ACSM) environmental sound classification (ESC) convolutional neural network (CNN) continuous wavelet transform (CWT) scalogram audio processing thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science New Advances in Audio Signal Processing |
| title | New Advances in Audio Signal Processing |
| title_full | New Advances in Audio Signal Processing |
| title_fullStr | New Advances in Audio Signal Processing |
| title_full_unstemmed | New Advances in Audio Signal Processing |
| title_short | New Advances in Audio Signal Processing |
| title_sort | new advances in audio signal processing |
| topic | fire protection equipment acoustic nozzle inert gas halocarbon compound sound pressure level AI diagnostics COVID-19 screening deep learning speech recognition room reverberation room impulse response recurrent neural networks audio signal spectrum filter bank sound quality annoyance perception psychoacoustics vacuum cleaner noise household appliance noise sound event detection U-Net weakly supervised learning pooling convolutional neural network dolphin whistle ensemble spectrogram classification pitch detection F0 algorithm auto-tune audio signal processing acoustic imaging microphone arrays robust super directive beamforming array processing miniaturization aperiodic sparse planar arrays filter-and-sum beamforming data-independent 3-D digital beamforming low-cost acoustic camera sensor mismatches personal audio system sound field control acoustic contrast reconstruction error array effort automatic construction site monitoring (ACSM) environmental sound classification (ESC) convolutional neural network (CNN) continuous wavelet transform (CWT) scalogram audio processing thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | fire protection equipment acoustic nozzle inert gas halocarbon compound sound pressure level AI diagnostics COVID-19 screening deep learning speech recognition room reverberation room impulse response recurrent neural networks audio signal spectrum filter bank sound quality annoyance perception psychoacoustics vacuum cleaner noise household appliance noise sound event detection U-Net weakly supervised learning pooling convolutional neural network dolphin whistle ensemble spectrogram classification pitch detection F0 algorithm auto-tune audio signal processing acoustic imaging microphone arrays robust super directive beamforming array processing miniaturization aperiodic sparse planar arrays filter-and-sum beamforming data-independent 3-D digital beamforming low-cost acoustic camera sensor mismatches personal audio system sound field control acoustic contrast reconstruction error array effort automatic construction site monitoring (ACSM) environmental sound classification (ESC) convolutional neural network (CNN) continuous wavelet transform (CWT) scalogram audio processing thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20240704_9783725810598_83 |