Abstract:
A system predicts the intent of a user and proactively offers to perform a query that satisfies that intent. Upon the user's acceptance of the offer, the system begins a search for related information. The system examines such factors as search terms typed or spoken by said user, historical attributes of said user, historical journey attributes of said user, current journey attributes of said user, user location, user movement, current time, user profile, user calendar, user information stored on, or associated with, a device within the user's possession. The system then makes a prediction of any of the user's intent, query category, and issue category. Based upon the results of the system's prediction, a query that is relevant to the user's intent and/or issue categories is presented and, upon the user's command, the results of the search are returned to the user.
Abstract:
L'invention concerne un procédé de traitement d'un gaz contenant du H2S en soufre, dans lequel le gaz est mis en contact avec un catalyseur qui comporte un support en mousse poreuse de SiC d'une surface spécifique BET supérieure à 1 m2/g, et préférentiellement supérieure à 5 m2/g, et une phase active comportant au moins un élément de métal de transition.
Abstract:
L'invention concerne l'utilisation d'un matériau réfractaire composite base de SiC comme revêtement intérieur de four de fusion d'aluminium ou comme revêtement de cuve d'électrolyse en sel fondu. Ce matériau contient des inclusions, dont au moins une partie en α-SiC, dans une matrice de β-SiC.
Abstract:
A method is provided for improving pattern matching in a speech recognition system having a plurality of acoustic models (20). Similarity measures for acoustic feature vectors (54) are determined in groups that are then buffered into cache memory (59). To further reduce computational processing, the acoustic data may be partitioned amongst a plurality of processing nodes (66, 67, 68). In addition, a priori knowledge of the spoken order may be used to establish the access order (124) used to copy records from the main speech parameter table (120, 200) into a sub-table (130, 204). The sub-table is processed such that the entries are in contiguous memory locations (206) and sorted according to the processing order (208). The speech processing algorithm is then directed to operate upon the sub-table (210) which causes the processor to load the sub-table into high speed cache memory (104, 212).
Abstract:
A method is provided for improving pattern matching in a speech recognition system having a plurality of acoustic models (20). Similarity measures for acoustic feature vectors (54) are determined in groups that are then buffered into cache memory (59). To further reduce computational processing, the acoustic data may be partitioned amongst a plurality of processing nodes (66, 67, 68). In addition, a priori knowledge of the spoken order may be used to establish the access order (124) used to copy records from the main speech parameter table (120, 200) into a sub-table (130, 204). The sub-table is processed such that the entries are in contiguous memory locations (206) and sorted according to the processing order (208). The speech processing algorithm is then directed to operate upon the sub-table (210) which causes the processor to load the sub-table into high speed cache memory (104, 212).
Abstract:
The speech synthesizer is personalized to sound like or mimic the speech characteristics of an individual speaker. The individual speaker provides a quantity of enrollment data (18), which can be extracted from a short quantity of speech, and the system modifies the base synthesis parameters (12) to more closely resemble those of the new speaker (36). More specifically, the synthesis parameters (12) may be decomposed into speaker dependent parameters (30), such as context-independent parameters, and speaker independent parameters (32), such as contextindependent parameters, and speaker independent parameters (32), such as context dependent parameters. The speaker dependent parameters (30) are adapted using enrollment data (18) from the new speaker. After adaptation, the speaker dependent parameters (30) are combined with the speaker independent parameters (32) to provide a set of personalized synthesis parameters (42).
Abstract:
The invention relates to a method of producing a composite comprising nanofibres or nanotubes on a porous ß-SiC substrate, said method comprising the following steps: (a) a catalyst for growing nanotubes or nanofibres is incorporated into said porous ß-SiC substrate or into an SiC precursor; (b) carbon nanotubes or nanofibres are grown from a mixture comprising hydrogen and at least one hydrocarbon; and (c) optionally, said carbon nanotubes or nanofibres are converted to SiC nanofibres. This composite may be used as a catalyst or catalyst support.
Abstract:
L'invention concerne un procédé de fabrication d'un composite comportant des nanofïbres ou nanotubes sur un substrat poreux de β-SiC, ledit procédé comportant les étapes suivantes : (a) On incorpore dans ledit substrat poreux de β-SiC, ou dans un précurseur de SiC, un catalyseur de croissance de nanotubes ou nanofibres; (b) On fait croître des nanotubes ou nanofibres de carbone à partir d'un mélange comprenant au moins un hydrocarbure et de l'hydrogène; (c) Optionnellement, on transforme lesdits nanotubes ou nanofibres en carbone en nanofibres de SiC. Ce produit composite peut être utilisé comme catalyseur ou support de catalyseur.
Abstract:
La présente invention concerne un procédé de préparation d'un matériau solide ô base de nanofibres et/ou nanotubes enchevêtrés, comprenant une étape où on fait croître sous contrainte des nanotubes et/ou des nanofibres de carbone au sein d'un réacteur confiné, ainsi que les matériaux obtenus dans ce cadre. L'invention concerne également différentes utilisations de ces matériaux.
Abstract:
A media production system includes a textual alignment module aligning multiple speech recordings to textual lines of a script based on speech recognition results. A navigation module responds to user navigation selections respective of the textual lines of the script by communicating to the user corresponding, line-specific portions of the multiple speech recordings. An editing module responds to user associations of multiple speech recordings with textual lines by accumulating line-specific portions of the multiple speech recordings in a combination recording based on at least one of relationships of textual lines in the script to the combination recording, and temporal alignments between the multiple speech recordings and the combination recording.