Special Issue on “Sound and Music Computing”
Source abstract
Abstract
Sound and music computing is a young and highly multidisciplinary research field. [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Music and Audio Processing · Music Technology and Sound Studies · Neuroscience and Music Perception
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science, Aalto University, 02150 Espoo, Finland
International Audio Laboratories Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
Department of Architecture, Design and Media Technology, Aalborg University, 2450 Copenhagen SV, Denmark
Department of Signal Processing and Acoustics, Aalto University, 02150 Espoo, Finland
References (29)
Show source-provided references
1. Cecchi, S., Carini, A., and Spors, S. (2018). Room Response Equalization—A Review. Appl. Sci., 8.10.3390/app8010016 ↗
2. Necciari, T., Holighaus, N., Balazs, P., Průša, Z., Majdak, P., and Derrien, O. (2018). Audlet Filter Banks: A Versatile Analysis/Synthesis Framework Using Auditory Frequency Scales. Appl. Sci., 8.10.3390/app8010096 ↗
3. Brandtsegg, Ø., Saue, S., and Lazzarini, V. (2018). Live Convolution with Time-Varying Filters. Appl. Sci., 8.10.3390/app8010103 ↗
4. Damskägg, E.P., and Välimäki, V. (2017). Audio Time Stretching Using Fuzzy Classification of Spectral Bins. Appl. Sci., 7.10.3390/app7121293 ↗
5. Esqueda, F., Pöntynen, H., Parker, J.D., and Bilbao, S. (2017). Virtual Analog Models of the Lockhart and Serge Wavefolders. Appl. Sci., 7.10.3390/app7121328 ↗
6. Wang, Q., Zhou, R., and Yan, Y. (2017). A Two-Stage Approach to Note-Level Transcription of a Specific Piano. Appl. Sci., 7.10.3390/app7090901 ↗
7. Blaauw, M., and Bonada, J. (2017). A Neural Parametric Singing Synthesizer Modeling Timbre and Expression from Natural Songs. Appl. Sci., 7.10.3390/app7121313 ↗
8. Lee, J., Park, J., Kim, K.L., and Nam, J. (2018). SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification. Appl. Sci., 8.10.3390/app8010150 ↗
9. Green, M.C., and Murphy, D. (2017). EigenScape: A Database of Spatial Acoustic Scene Recordings. Appl. Sci., 7.10.3390/app7111204 ↗
10. Lovedee-Turner, M., and Murphy, D. (2018). Application of Machine Learning for the Spatial Analysis of Binaural Room Impulse Responses. Appl. Sci., 8.10.3390/app8010105 ↗
11. Pesek, M., Leonardis, A., and Marolt, M. (2017). SymCHM—An Unsupervised Approach for Pattern Discovery in Symbolic Music with a Compositional Hierarchical Model. Appl. Sci., 7.10.3390/app7111135 ↗
12. Bountouridis, D., Brown, D.G., Wiering, F., and Veltkamp, R.C. (2017). Melodic Similarity and Applications Using Biologically-Inspired Techniques. Appl. Sci., 7.10.3390/app7121242 ↗
13. Carabez, E., Sugi, M., Nambu, I., and Wada, Y. (2017). Identifying Single Trial Event-Related Potentials in an Earphone-Based Auditory Brain-Computer Interface. Appl. Sci., 7.10.3390/app7111197 ↗
14. McLeod, A., Schramm, R., Steedman, M., and Benetos, E. (2017). Automatic Transcription of Polyphonic Vocal Music. App. Sci., 7.10.3390/app7121285 ↗
15. Lazzarini, V. (2017). Supporting an Object-Oriented Approach to Unit Generator Development: The Csound Plugin Opcode Framework. Appl. Sci., 7.10.3390/app7100970 ↗
16. Selfridge, R., Moffat, D., and Reiss, J.D. (2017). Sound Synthesis of Objects Swinging through Air Using Physical Models. Appl. Sci., 7.10.3390/app7111177 ↗
17. Michon, R., Smith, J.O., Wright, M., Chafe, C., Granzow, J., and Wang, G. (2017). Mobile Music, Sensors, Physical Modeling, and Digital Fabrication: Articulating the Augmented Mobile Instrument. Appl. Sci., 7.10.3390/app7121311 ↗
18. MacRitchie, J., and Milne, A.J. (2017). Exploring the Effects of Pitch Layout on Learning a New Musical Instrument. Appl. Sci., 7.10.3390/app7121218 ↗
19. Kelkar, T., and Jensenius, A.R. (2018). Analyzing Free-Hand Sound-Tracings of Melodic Phrases. Appl. Sci., 8.10.3390/app8010135 ↗
20. Wilson, A., and Fazenda, B.M. (2017). Populating the Mix Space: Parametric Methods for Generating Multitrack Audio Mixtures. Appl. Sci., 7.10.3390/app7121329 ↗
21. Jia, M., Zhang, J., Bao, C., and Zheng, X. (2017). A Psychoacoustic-Based Multiple Audio Object Coding Approach via Intra-Object Sparsity. Appl. Sci., 7.10.3390/app7121301 ↗
22. Hansen, K.F., and Hiraga, R. (2017). The Effects of Musical Experience and Hearing Loss on Solving an Audio-Based Gaming Task. Appl. Sci., 7.10.3390/app7121278 ↗
23. Schaerlaeken, S., Grandjean, D., and Glowinski, D. (2017). Playing for a Virtual Audience: The Impact of a Social Factor on Gestures, Sounds and Expressive Intents. Appl. Sci., 7.10.3390/app7121321 ↗
24. Yiyu, T., Inoguchi, Y., Otani, M., Iwaya, Y., and Tsuchiya, T. (2018). A Real-Time Sound Field Rendering Processor. Appl. Sci., 8.10.3390/app8010035 ↗
25. Puomio, O., Pätynen, J., and Lokki, T. (2017). Optimization of Virtual Loudspeakers for Spatial Room Acoustics Reproduction with Headphones. Appl. Sci., 7.10.3390/app7121282 ↗
26. Verde, S., Pretto, N., Milani, S., and Canazza, S. (2018). Stay True to the Sound of History: Philology, Phylogenetics and Information Engineering in Musicology. Appl. Sci., 8.10.3390/app8020226 ↗
27. Hayes, L., and Stein, J. (2018). Desert and Sonic Ecosystems: Incorporating Environmental Factors within Site-Responsive Sonic Art. Appl. Sci., 8.10.3390/app8010111 ↗
28. Yağanoğlu, M., and Köse, C. (2017). Wearable Vibration Based Computer Interaction and Communication System for Deaf. Appl. Sci., 7.10.3390/app7121296 ↗
29. Quintana-Suárez, M.A., Sánchez-Rodríguez, D., Alonso-González, I., and Alonso-Hernández, J.B. (2017). A Low Cost Wireless Acoustic Sensor for Ambient Assisted Living Systems. Appl. Sci., 7.10.3390/app7090877 ↗