David A. Howell
Microsoft
21 Papers
500 Citations
David A. Howell is an academic researcher from Microsoft. The author has contributed to research in topics: Voicemail & Unified messaging. The author has an hindex of 11, co-authored 21 publications.
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Papers
Patent
Method and computer program product for estimating total resource usage requirements of a server application in a hypothetical user configuration
Hilal Al-Hilali,Perry Clarke,David Guimbellot,David A. Howell +3 more
- 26 Jan 1998
TL;DR: In this article, the authors propose a method for developing system resource usage "cost" equations, creating models based upon such cost equations, and estimating total system resources usage and computer program product incorporating these cost equations.
123
Patent
Unified Messaging Architecture
David T. Fong,David A. Howell +1 more
- 22 Mar 2005
TL;DR: A system and/or methodology that unifies a telephonic communication component with a data (e.g., messaging server) component is presented in this article, which can facilitate telephonically accessing rich information in the server (i.e., email content, calendar content, contacts information, or the like).
77
Patent
Selectable state machine user interface system
David A. Howell,David T. Fong +1 more
- 22 Mar 2005
TL;DR: In this article, a system that concurrently provides multiple user interface (UI) mechanisms that facilitate control of an application state machine (e.g., unified message system) is presented.
68
Patent
Personalized user specific grammars
David A. Howell,Sridhar Sundararaman,David T. Fong,Frank Seide +3 more
- 30 Dec 2005
TL;DR: In this paper, an improved system and methods are provided for transcribing audio files of voice mails sent over a unified messaging system. Customized grammars specific to a voice mail recipient are created and utilized to transcribe a received voice mail by comparing the audio file to commonly utilized words, names, acronyms, and phrases used by the recipient.
64
Patent
Voicemail and fax filtering
David A. Howell,Srinivasa Manda,Clifford N. Didcock,Sridhar Sundararaman,Roy Williams +4 more
- 30 Oct 2006
TL;DR: In this article, the authors propose a method to analyze voice, facsimile and like communications to determine if they are unsolicited bulk communications (i.e., spam) or include malicious code.
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