Abstract: Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate.

Abstract: Techniques disclosed herein include systems and methods for voice-enabled searching. Techniques include a co-occurrence based approach to improve accuracy of the 1-best hypothesis for non-phrase voice queries, as well as for phrased voice queries. A co-occurrence model is used in addition to a statistical natural language model and acoustic model to recognize spoken queries, such as spoken queries for searching a search engine. Given an utterance and an associated list of automated speech recognition n-best hypotheses, the system rescores the different hypotheses using co-occurrence information. For each hypothesis, the system estimates a frequency of co-occurrence within web documents. Combined scores from a speech recognizer and a co-occurrence engine can be combined to select a best hypothesis with a lower word error rate.

Abstract: The present invention provides a method for detecting and locating brachytherapy seeds using Singular Spectrum Analysis (SSA). The method exploits the presence of seed-specific repetitive echo signals in detecting seeds and determining their location. Radio frequency (rf) echo signals received from a scanned area of interest are converted to zero-mean envelope-detected signals and then processed using SSA to produce a spectral-power line (a P line). The P line indicates the relative likelihood of a seed being present. A colored P-mode image derived from a set of P lines is superimposed on a conventional ultrasound B-mode image to depict seed location.

Abstract: A method for information retrieval includes extracting from a video document visual data items and textual data items that occur in the document at respective occurrence times. Indexing records, which index both the visual and the textual data items by their respective occurrence times, are constructed and stored in a memory.

Abstract: A method for information retrieval includes extracting from a video document visual data items and textual data items that occur in the document at respective occurrence times. Indexing records, which index both the visual and the textual data items by their respective occurrence times, are constructed and stored in a memory.

Abstract: The present invention provides a method for detecting and locating brachytherapy seeds using Singular Spectrum Analysis (SSA). The method exploits the presence of seed-specific repetitive echo signals in detecting seeds and determining their location. Radio frequency (rf) echo signals received from a scanned area of interest are converted to zero-mean envelope-detected signals and then processed using SSA to produce a spectral-power line (a P line). The P line indicates the relative likelihood of a seed being present. A colored P-mode image derived from a set of P lines is superimposed on a conventional ultrasound B-mode image to depict seed location.