Other

Bbn Corporation

Nanocerox, Inc.

Long Hoang Nguyen

William H Rhodes

Yin S Tang

David Gerald Scerbak

Sean C Colbath

David G Stallard

Anthony C Sutorik

Tom Hinklin

Cecile Pham

Richard M Schwartz

Monica Emmons Ewing

Digvijay Singh Naruka

Eugene Tinker

A computer system providing audio and visual proceedings between staff, admin, and citizen users in a virtual courtroom environment and wherein the computer system facilitates the proceedings in the virtual courtroom. The computer system includes a plurality of graphical user interfaces providing unique passcodes for joining a proceeding, schedules, audio and video capacities, and custom legal document preparation and acknowledgement. The computer system allowing the staff, admin, and citizen users to interact privately in the proceedings and the proceedings being encrypted and recorded in accordance with the law.

Method of implementing an interactive presentation in the form of an interactive legal hearing in real-time

A composition is provided that includes a plurality of calcined particles of terbium aluminum oxide having a mean particle domain size of between 30 and 600 nanometers. A translucent article having a surface includes polycrystalline terbium aluminum garnet having a mean grain size from 1 to 10 microns and light scattering inclusions of aluminum-rich oxide and/or terbium-rich oxide that are present at less than 2 surface area percent of the surface. A process for forming such an article involves sintering the above provided composition at a temperature between 1500&#xb0; C. and 1700&#xb0; C. to yield a sintered article. The article has improved translucency and even transparency as sintering is performed under vacuum at a temperature between 1610&#xb0; C. and 1680&#xb0; C. Hot isostatic pressing alone or in combination with article polishing also improves article translucency.

Sintered polycrystalline terbium aluminum garnet and use thereof in magneto-optical devices

A voice activated and operated Internet web browser where voiced utterances are digitized and the digitized representation is input to a speech recognition program is disclosed. The speech recognition program determines the most likely set of words from a stored vocabulary making up the utterances. The words are analyzed and searched against a database of topics or micro-domain areas. If a match occurs the words are analyzed by a subprogram associated with the specific topic area and key words are identified and other words discarded. The key words are input to a search engine or the equivalent. The search engine returns information associated with the topic. If no topic match is found a general search on the recognized words is performed. The recognized words are fed to a identification module where key words are extracted that are associated with names of people, organizations, locations, and companies; times; money amounts; percentages; dates; and not-a-name. The extraneous not-a-name words are discarded and the remaining key words are passed to a search engine. The search engine returns with web pages or other such information are found and displayed to the user. The user may re-run the identification module for marking hyperlinks for more particular information.

Voice activated web browser

The invention provides a method of large vocabulary speech recognition that employs a single tree-structured phonetic hidden Markov model (HMM) at each frame of a time-synchronous process. A grammar probability is utilized upon recognition of each phoneme of a word, before recognition of the entire word is complete. Thus, grammar probabilities are exploited as early as possible during recognition of a word. At each frame of the recognition process, a grammar probability is determined for the transition from the most likely preceding grammar state to a set of words that share at least one common phoneme. The grammar probability is combined with accumulating phonetic evidence to provide a measure of the likelihood that a state in the HMM will lead to the word most likely to have been spoken. In a preferred embodiment, phonetic context information is exploited, even before the complete context of a phoneme is known. Instead of an exact triphone model, wherein the phonemes previous and subsequent to a phoneme are considered, a composite triphone model is used that exploits partial phonetic context information to provide a phonetic model that is more accurate than aphonetic model that ignores context. In another preferred embodiment, the single phonetic tree method is used as the forward pass of a forward/backward recognition process, wherein the backward pass employs a recognition process other than the single phonetic tree method.

Single tree method for grammar directed, very large vocabulary speech

Growing community of inventors

Kennesaw, GA, United States of America

Long Hoang Nguyen