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Cited by 411

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Voice puppetry

Brand, Matthew·1999·Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99

Abstract

Article Voice puppetry Share on Author: Matthew Brand MERL -- a Mitsubishi Electric Research Laboratory, 201 Broadway, Cambridge, MA MERL -- a Mitsubishi Electric Research Laboratory, 201 Broadway, Cambridge, MAView Profile Authors Info & Claims SIGGRAPH '99: Proceedings of the 26th annual conference on Computer graphics and interactive techniquesJuly 1999 Pages 21–28https://doi.org/10.1145/311535.311537Online:01 July 1999Publication History 249citation1,623DownloadsMetricsTotal Citations249Total Downloads1,623Last 12 Months60Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

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Registry

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Metadata

Authors
Brand, M.
Venue
Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99
Publisher
ACM Press
Published
1999
Pages
21-28
OpenAlex
W2295661697
Cited by
411
References
3
FWCI
20.31
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Voice puppetry. https://app.cochat.ai/papers/10.1145/311535.311537
The paper
Brand, M. (1999). Voice puppetry. Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99. https://doi.org/10.1145/311535.311537

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.