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SIVSimian Immunodeficiency Virus
SIVSykehuset I Vestfold (Norwegian hospital)
SIVSeasonal Influenza Vaccine
SIVSwine Influenza Virus
SIVStructured Investment Vehicle
SIVSystem Information Viewer
SIVSystème d'Immatriculation des Véhicules (French: Vehicle Registration System)
SIVSuporte Imediato de Vida (Portuguese: Immediate Life Support)
SIVSmall Islands Voice
SIVSelf-Inflicted Violence
SIVSpecial Immigrant Visa (US State Department)
SIVSpecial Investment Vehicle
SIVSpecial Interest Vessel (US DoD)
SIVSpeaker Identification and Verification (speech recognition)
SIVSociété Industrielle de Vitrines (French metalwork company)
SIVSimulation d'Incident en Vol (French: Simulated Incidence in Flight; paragliding)
SIVSite Initiation Visit
SIVSetto Interventricolare (Italian)
SIVServizio Informazioni del Vaticano (Frontier magazine march 2008, article about extraterrestial contact)
SIVSitus Inversus Viscerum
SIVSilo Interface Vault (missile defense)
SIVSorry I Vanished (chat)
SIVSound in Video
SIVSpeed Increase Valve
SIVSafety Interlocks Valid
SIVSystem Integration Van/Vehicle
SIVSensors in Vacuum (engineering)
SIVService d'Immuno Virologies (French: Immunovirology Department; Atomic Energy Commission)
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References in periodicals archive ?
Gaussian mixture model is of the most widely used methods of speaker identification and verification. Indeed, GMM estimates the density written as several Gaussian functions.
Reynolds, "Speaker identification and verification using Gaussian mixture speaker models," Speech Communication, vol.
* "Speaker Identification and Verification (SIV) Requirements for VoiceXML Applications," and
This reference work presents an exhaustive review of current research in the growing fields of lip segmentation, visual speech recognition, and speaker identification and verification. Audio-visual speech recognition has attracted substantial interest in recent years since it was demonstrated that visual information regarding lip dynamics improves the performance of automatic speech recognition systems.
The hands-on, interactive product evaluations involved technologies in five categories: speaker identification and verification, text-to-speech, enterprise solutions, mobile solutions, and in beta, a new area that allowed companies to demonstrate experimental technologies that are not yet ready for commercial release.
In the speaker identification and verification lab, seven companies staged demonstrations involving enrollment plus verification, followed by a demo of their own choosing.
Specific new functionality includes better media control, including support for video, speaker identification and verification (SIV) capabilities, and media synchronization primitives, which not only enhance media control but also allow for more precise specification of simultaneous input handling.
This year, they have expanded the labs to include a session on speaker identification and verification (SIV Lab).
I just completed a paper for the book Speaker Classification, edited by Christian Muller and Suzanne Schotz, in which I describe ways that speaker identification and verification (SIV) need and use classification.