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Nuance Communications

CompanyVienna, Austria
About: Nuance Communications is a(n) company organization based out in Vienna, Austria. It is known for research contribution in the topic(s): Speech processing & Voice activity detection. The organization has 1518 authors who have published 1701 publication(s) receiving 54891 citation(s). The organization is also known as: ScanSoft & ScanSoft Inc..
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Premkumar V. Uppaluru1Institutions (1)
25 Jan 2002-
Abstract: A system and method provides universal access to voice-based documents containing information formatted using MIME and HTML standards using customized extensions for voice information access and navigation. These voice documents are linked using HTML hyper-links that are accessible to subscribers using voice commands, touch-tone inputs and other selection means. These voice documents and components in them are addressable using HTML anchors embedding HTML universal resource locators (URLs) rendering them universally accessible over the Internet. This collection of connected documents forms a voice web. The voice web includes subscriber-specific documents including speech training files for speaker dependent speech recognition, voice print files for authenticating the identity of a user and personal preference and attribute files for customizing other aspects of the system in accordance with a specific subscriber.

983 citations

B. Alex Robinson, Michael R. Longe1Institutions (1)
26 May 2000-
Abstract: An enhanced text entry system using word-level analysis to automatically correct inaccuracies in user keystroke entries on reduced keyboards. The keyboard (105) may be a part of a touch-sensitive panel or display screen (100) or on a mechanical keyboard system. A method and system are defined which determine one or more alternative textual interpretations of each sequence of inputs detected within a designated auto-correcting keyboard region (106). The actual contact locations for the keystrokes may occur outside the boundaries of the specific keyboard key regions, where the distance from each contact location to each corresponding intended character may in general increase with the expected frequency of the intended word in the language or in a particular context. The user can easily select the intended word from among the generated interpretations.

574 citations

Journal ArticleDOI
Xinqi Chen1, Xinqi Chen2, Takeshi Saito1, Hirofumi Yamada1  +1 moreInstitutions (2)
Abstract: Single-wall carbon nanotubes (SWCNTs) were highly aligned by an external electric field. The results suggest that the alignment of SWCNTs shows significant dependencies on the frequency and the magnitude of the applied electric field. The electric field with 5 MHz straightened out the SWCNTs and created highly oriented samples with fewer large particles. We also discussed the mechanism and applications.

484 citations

02 Jun 2005-
Abstract: The present invention provides a speech recognition system combined with one or more alternate input modalities to ensure efficient and accurate text input. The speech recognition system achieves less than perfect accuracy due to limited processing power, environmental noise, and/or natural variations in speaking style. The alternate input modalities use disambiguation or recognition engines to compensate for reduced keyboards, sloppy input, and/or natural variations in writing style. The ambiguity remaining in the speech recognition process is mostly orthogonal to the ambiguity inherent in the alternate input modality, such that the combination of the two modalities resolves the recognition errors efficiently and accurately. The invention is especially well suited for mobile devices with limited space for keyboards or touch-screen input.

442 citations

12 Mar 2013-
Abstract: According to some aspects, a method of monitoring an acoustic environment of a mobile device, at least one computer readable medium encoded with instructions that, when executed, perform such a method and/or a mobile device configured to perform such a method is provided. The method comprises receiving, by the mobile device, acoustic input from the environment of the mobile device, detecting whether the acoustic input includes a voice command from a user without requiring receipt of an explicit trigger from the user, and initiating responding to the detected voice command.

411 citations


Showing all 1518 results

Vinayak P. Dravid10381743612
Mehryar Mohri7532022868
Jinsong Wu7056616282
Horacio D. Espinosa6731516270
Shumin Zhai6720013447
Shang-Hua Teng6626516647
Dimitri Kanevsky6236214072
Marilyn A. Walker6230913429
Tara N. Sainath6127425183
Kenneth Church6129521179
John B Ketterson6081416929
Pascal Frossard5963722749
Michael Picheny5724411759
G. R. Scott Budinger5619612063
Jun Wu5335912110
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