Special Issue on Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening
Source abstract
Abstract
The recent introduction of Deep Learning has led to a vast array of breakthroughs in many fields of science and engineering [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Speech and Audio Processing · Music and Audio Processing · Speech Recognition and Synthesis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy
Center for Digital Music, Queen Mary University, London E1 4FZ, UK
Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
References (10)
Show source-provided references
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8. Navarro-Cáceres, M., Merchán Sánchez-Jara, J.F., Reis Quietinho Leithardt, V., and García-Ovejero, R. (2020). Assistive Model to Generate Chord Progressions Using Genetic Programming with Artificial Immune Properties. Appl. Sci., 10.10.3390/app10176039 ↗
9. Pesek, M., Leonardis, A., and Marolt, M. (2020). An Analysis of Rhythmic Patterns with Unsupervised Learning. Appl. Sci., 10.10.3390/app10010178 ↗
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