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Spectral Modeling Synthesis: A Sound Analysis/Synthesis System Based on a Deterministic Plus Stochastic Decomposition
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In the citing paper
“A conceptually similar strategy for TSM has been proposed by Verma and Meng in [24] where they use a sines+transients+noise signal model [25][26][27][28] to parameterize a given signal's sinusoidal, transient, and noise-like sound components.”
From A Review of Time-Scale Modification of Music Signals (2016) · cites this paper as [28]
In the citing paper
“The WaveNet synthesizer can be used for TSM by adjusting the number of audio samples generated per frame of the local conditioning signal, similarly to how the hop size between consecutive frames is adjusted from analysis to synthesis in traditional DSP methods.”
From Extreme Audio Time Stretching Using Neural Synthesis (2023) · cites this paper as [17]
In the citing paper
“Previous work has shown that the CQT is a good choice for synthesis of musical sounds [17] and also environmental sound classification [20].”
From Extreme Audio Time Stretching Using Neural Synthesis (2023) · cites this paper as [17]
In the citing paper
“The use of the CQT spectrogram as a conditioning signal for a WaveNet synthesizer was first proposed in [17].”
From Extreme Audio Time Stretching Using Neural Synthesis (2023) · cites this paper as [17]
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Citations
Cited by
A Review of Time-Scale Modification of Music Signals
Driedger, J., & Müller, M. (2016) · Applied Sciences · doi:10.3390/app6020057 · Cited by 71
Noise Morphing for Audio Time Stretching
Moliner, E., Fierro, L., Wright, A., Hämäläinen, M. S., & Välimäki, V. (2024) · IEEE Signal Processing Letters · doi:10.1109/lsp.2024.3386118 · Cited by 2
Extreme Audio Time Stretching Using Neural Synthesis
Fierro, L., Wright, A., Välimäki, V., & Hämäläinen, M. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp49357.2023.10094738 · Cited by 2
Metadata
- Authors
- Serra, X., & Smith, J.
- Venue
- Computer Music Journal
- Publisher
- JSTOR
- Published
- 1990
- Volume
- 14
- Issue
- 4
- Pages
- 12
- ISSN
- 0148-9267
- Cited by
- 338
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
