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A new method of onset and offset detection in ensemble singing
Sara D'Amario1, Helena Daffern1, Freya Bailes2
1Department of Electronic Engineering, University of York , York , UK.
This study introduces a new method for analyzing singing, improving note detection accuracy. It also reveals insights into singer synchronization during duets, influenced by visual cues and leadership dynamics.
Area of Science:
- Music Information Retrieval
- Bioacoustics
- Signal Processing
Background:
- Accurate detection of phonation onset/offset and note boundaries is crucial for music analysis.
- Existing methods for note detection in singing have limitations in performance and accuracy.
- Understanding singer synchronization is key to analyzing ensemble performance dynamics.
Purpose of the Study:
- To develop and evaluate a novel method for precise detection of phonation and note events in sung phrases.
- To investigate the temporal synchronization patterns between singers in duets.
- To explore factors influencing synchronization, such as visual contact and leader-follower dynamics.
Main Methods:
- Combination of electrolaryngography and acoustic analysis.
- Application of the TIMEX peak-picking algorithm for event detection.
- Analysis of singing duo recordings with manual annotations by experts.
Main Results:
- The novel method achieved 78% performance accuracy within a 50ms tolerance, outperforming state-of-the-art techniques (around 60%).
- Pilot study on duets revealed bidirectional temporal adaptations between singers.
- Synchronization precision and tendencies (leading/lagging) were potentially affected by visual contact and leader-follower relationships.
Conclusions:
- The developed method offers a significant improvement for detecting vocal events in singing.
- Singer synchronization in ensembles is a complex interplay of temporal adaptation and external factors.
- Findings provide a foundation for future research on ensemble singing dynamics and synchronization.
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