Abstract: Speech processing techniques are disclosed that enable determining a text representation of named entities in captured audio data. Various implementations include determining the location of a carrier phrase in a word lattice representation of the captured audio data, where the carrier phrase provides an indication of a named entity. Additional or alternative implementations include matching a candidate named entity with the portion of the word lattice, and augmenting the word lattice with the matched candidate named entity.

Abstract: Speech processing techniques are disclosed that enable determining a text representation of named entities in captured audio data. Various implementations include determining the location of a carrier phrase in a word lattice representation of the captured audio data, where the carrier phrase provides an indication of a named entity. Additional or alternative implementations include matching a candidate named entity with the portion of the word lattice, and augmenting the word lattice with the matched candidate named entity.

Abstract: Speech processing techniques are disclosed that enable determining a text representation of named entities in captured audio data. Various implementations include determining the location of a carrier phrase in a word lattice representation of the captured audio data, where the carrier phrase provides an indication of a named entity. Additional or alternative implementations include matching a candidate named entity with the portion of the word lattice, and augmenting the word lattice with the matched candidate named entity.

Abstract: Speech processing techniques are disclosed that enable determining a text representation of named entities in captured audio data. Various implementations include determining the location of a carrier phrase in a word lattice representation of the captured audio data, where the carrier phrase provides an indication of a named entity. Additional or alternative implementations include matching a candidate named entity with the portion of the word lattice, and augmenting the word lattice with the matched candidate named entity.

Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.

Abstract: A method includes receiving a speech input from a user and obtaining context metadata associated with the speech input. The method also includes generating a raw speech recognition result corresponding to the speech input and selecting a list of one or more denormalizers to apply to the generated raw speech recognition result based on the context metadata associated with the speech input. The generated raw speech recognition result includes normalized text. The method also includes denormalizing the generated raw speech recognition result into denormalized text by applying the list of the one or more denormalizers in sequence to the generated raw speech recognition result.

Abstract: The use of at least one nucleic acid based nuclear localization signal including a natural or synthetic m3G-CAP is shown to increase transmembrane transport of a molecular cargo, in particular large molecules, into the nucleus. The use of natural and synthetic m3G-CAP is disclosed and the effect shown with a natural RNA 5? end nuclear localization signal composed of a 2,2,7-trimethylguanosine CAP (m3G-CAP) coupled to fluorescent Streptavidin in one example, and an antisense oligonucleotide in another. A methylenephosphonate modified m3G-CAP is shown to have improved stability in human serum and in cytosolic extract.

Abstract: The use of at least one nucleic acid based nuclear localization signal including a natural or synthetic m3G-CAP is shown to increase transmembrane transport of a molecular cargo, in particular large molecules, into the nucleus. The use of natural and synthetic m3G-CAP is disclosed and the effect shown with a natural RNA 5? end nuclear localization signal composed of a 2,2,7-trimethylguanosine CAP (m3G-CAP) coupled to fluorescent Streptavidin in one example, and an antisense oligonucleotide in another. A methylenephosphonate modified m3G-CAP is shown to have improved stability in human serum and in cytosolic extract.

Abstract: A method for generating a speech recognition model includes accessing a baseline speech recognition model, obtaining information related to recent language usage from search queries, and modifying the speech recognition model to revise probabilities of a portion of a sound occurrence based on the information. The portion of a sound may include a word. Also, a method for generating a speech recognition model, includes receiving at a search engine from a remote device an audio recording and a transcript that substantially represents at least a portion of the audio recording, synchronizing the transcript with the audio recording, extracting one or more letters from the transcript and extracting the associated pronunciation of the one or more letters from the audio recording, and generating a dictionary entry in a pronunciation dictionary.

Abstract: Serving advertisements with (e.g., in) audio documents may be improved by (a) accepting at least a portion of a document including audio content, (b) analyzing the audio content to determine relevancy information for the document, and (c) determining at least one advertisement relevant to the document using at least the relevancy information and serving constraints associated with advertisements. The advertisements may be scored if more than one advertisement was determined to be relevant to the document. Then, at least one of the advertisements to be served with an ad spot for the document may be determined using at least the scores. Examples of documents include radio programs, live or recorded musical works with lyrics, live or recorded dramatic works with dialog or a monolog, live or recorded talk shows, voice mail, segments of an audio conversation, etc.

Abstract: A speech recognition system provides a subword decoder and a dictionary lookup to process a spoken input. In a first stage of processing, the subword decoder decodes the speech input based on subword units or particles and identifies hypothesized subword sequences using a particle dictionary and particle language model, but independently of a word dictionary or word vocabulary. Further stages of processing involve a particle to word graph expander and a word decoder. The particle to word graph expander expands the subword representation produced by the subword decoder into a word graph of word candidates using a word dictionary. The word decoder uses the word dictionary and a word language model to determine a best sequence of word candidates from the word graph that is most likely to match the words of the spoken input.

Abstract: Computer method and apparatus for reading and analyzing ECG signals includes applying a plurality of heart condition detectors to a subject ECG signal. Each detector produces a respective indication of likelihood of certain heart conditions existing in the subject. A lattice having annotations of the different detector heart conditions is formed from the detector indications. The lattice enables medical personnel to navigate through and hence more easily read the ECG signal data. The lattice effectively provides an indexed or annotated version of the subject ECG signal.

Abstract: Computer method and apparatus of analyzing ECG signals of a subject include receiving a subject electrocardiogram signal and comparing it against signal patterns of known cardiac syndromes. A library of example predefined signals is employed. Distance measures indicating similarity of the subject signal to the example predefined signals are produced and form a sequence of vectors. The sequence of vectors are input into a classifier which determines existence of signal patterns indicative of any cardiac syndromes in the subject.

Abstract: There is provided a method for classifying, identifying or verifying an object by representing the object by a respective sequence of vectors, modeling the sequence of vectors with a respective generative model such that the object is represented by the generative model, computing the distances between the generative models to form one or many kernel matrices based on the distance metric, and using the kernel matrices to classify, identify or verify the object.

Abstract: Methods and apparatus for analyzing the chemical composition of vulnerable plaques with an intravascular catheter having a near-infrared light source, a fiber-optic probe, a mechanism for directing the light from the light source into a blood vessel, and detectors for detecting light reflected or scattered by the tissue. The light source may be a tunable laser, and may transmit an incident beam having a wavelength ranging from 1400 to 4100 nm. A computer may be included to receive and process the spectral data in the analysis of the vulnerable plaques. A catheter system may be configured to provide near-IR spectrometric imaging of arteries to non-destructively locate and determine lipid pool and fibrous cap size and composition. Additionally, mediators and cellular components may be also determined that are typically associated with vulnerable plaques which have an increased risk of rupture.

Abstract: A speech recognition system provides a subword decoder and a dictionary lookup to process a spoken input. In a first stage of processing, the subword decoder decodes the speech input based on subword units or particles and identifies hypothesized subword sequences using a particle dictionary and particle language model, but independently of a word dictionary or word vocabulary. Further stages of processing involve a particle to word graph expander and a word decoder. The particle to word graph expander expands the subword representation produced by the subword decoder into a word graph of word candidates using a word dictionary. The word decoder uses the word dictionary and a word language model to determine a best sequence of word candidates from the word graph that is most likely to match the words of the spoken input.

Abstract: A method and apparatus are provided for refining time alignments of closed captions. The method automatically aligns closed caption data with associated audio data such that the closed caption data can be more precisely indexed to a requested keyword by a search engine. Further, with such a structure, the closed captions can be made to appear and disappear on a display screen in direct relation to the associated spoken words and phrases. Accordingly, hearing impaired viewers can more easily understand the program that is being displayed.

Abstract: Methods and apparatus for analyzing the chemical composition of vulnerable plaques with an intravascular catheter having a near-infrared light source, a fiber-optic probe, a mechanism for directing the light from the light source into a blood vessel, and detectors for detecting light reflected or scattered by the tissue. The light source may be a tunable laser, and may transmit an incident beam having a wavelength ranging from 1400 to 4100 nm. A computer may be included to receive and process the spectral data in the analysis of the vulnerable plaques. A catheter system may be configured to provide near-IR spectrometric imaging of arteries to non-destructively locate and determine lipid pool and fibrous cap size and composition. Additionally, mediators and cellular components may be also determined that are typically associated with vulnerable plaques which have an increased risk of rupture.