The DOI matches its Crossref record; 14 of the 15 references it cites were found in a registry or an index.
Improved phase vocoder time-scale modification of audio
Abstract
The phase vocoder is a well established tool for time scaling and pitch shifting speech and audio signals via modification of their short-time Fourier transforms (STFTs). In contrast to time-domain time-scaling and pitch-shifting techniques, the phase vocoder is generally considered to yield high quality results, especially for large modification factors and/or polyphonic signals. However, the phase vocoder is also known for introducing a characteristic perceptual artifact, often described as "phasiness", "reverberation", or "loss of presence". This paper examines the problem of phasiness in the context of time-scale modification and provides new insights into its causes. Two extensions to the standard phase vocoder algorithm are introduced, and the resulting sound quality is shown to be significantly improved. Moreover, the modified phase vocoder is shown to provide a factor-of-two decrease in computational cost.
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In the citing paper
“One cause of 'phasiness' is phase unwrapping errors that occur when the time-scaling parameter (α) is not an integer (Laroche and Dolson, 1999).”
From An objective measure of quality for time-scale modification of audio (2021) · cites this paper as Laroche and Dolson, 1999
In the citing paper
“'Phasiness' causes spectral coloration of the signal (Laroche and Dolson, 1999), allowing for spectral similarity to be used as an indicator of phasiness.”
From An objective measure of quality for time-scale modification of audio (2021) · cites this paper as Laroche and Dolson, 1999
In the citing paper
“However, they are shown to be only high level indicators of 'phasiness' or quality (Laroche and Dolson, 1999).”
From An objective measure of quality for time-scale modification of audio (2021) · cites this paper as Laroche and Dolson, 1999
In the citing paper
“but introduce noticeable artifacts when modifying percussive signals.”
From A Review of Time-Scale Modification of Music Signals (2016) · cites this paper as [6]
In the citing paper
“When applied to harmonic signals, the output signals of OLA have a characteristic warbling sound, which is a kind of periodic frequency modulation [6].”
From A Review of Time-Scale Modification of Music Signals (2016) · cites this paper as [6]
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Metadata
- Authors
- Laroche, J., & Dolson, M.
- Venue
- IEEE Transactions on Speech and Audio Processing
- Published
- 1999-05
- Volume
- 7
- Issue
- 3
- Pages
- 323-332
- ISSN
- 1063-6676 (ISSN-L)
- OpenAlex
- W2116428736
- Cited by
- 276
- References
- 15
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 9 · 2023: 16 · 2022: 9 · 2021: 9 · 2020: 3 · 2019: 16 · 2018: 15 · 2017: 17 · 2016: 7 · 2015: 14 · 2014: 12 · 2013: 8 · 2012: 9
- FWCI
- 4.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Speech and Audio Processing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Physical Sciences › Computer Science › Signal Processing › Digital Filter Design and Implementation
- Keywords
- phase vocoder, time-scale modification, pitch shifting, short-time Fourier transform, computational complexity reduction, sound quality
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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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.
