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- W4285367277 abstract "A central challenge for a cappella singers is to adjust their intonation and to stay in tune relative to their fellow singers. During editing of a cappella recordings, one may want to adjust local intonation of individual singers or account for global intonation drifts over time. This requires applying a time-varying pitch-shift to the audio recording, which we refer to as adaptive pitch-shifting. In this context, existing (semi-)automatic approaches are either labor-intensive or face technical and musical limitations. In this work, we present automatic methods and tools for adaptive pitch-shifting with applications to intonation adjustment in a cappella recordings. To this end, we show how to incorporate time-varying information into existing pitch-shifting algorithms that are based on resampling and time-scale modification (TSM). Furthermore, we release an open-source Python toolbox, which includes a variety of TSM algorithms and an implementation of our method. Finally, we show the potential of our tools by two case studies on global and local intonation adjustment in a cappella recordings using a publicly available multitrack dataset of amateur choral singing." @default.
- W4285367277 created "2022-07-14" @default.
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- W4285367277 date "2021-09-08" @default.
- W4285367277 modified "2023-09-27" @default.
- W4285367277 title "Adaptive Pitch-Shifting with Applications to Intonation Adjustment in a Cappella Recordings" @default.
- W4285367277 doi "https://doi.org/10.23919/dafx51585.2021.9768268" @default.
- W4285367277 hasPublicationYear "2021" @default.
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