Abstract: A system and method for securing software as a service (SaaS) platforms by providing inter-service visibility. A method includes identifying, based on log data of a first service, a second service connected to the first service, wherein each of the first service and the second service is a set of functions for performing a respective task, wherein the second service is called by the first service; identifying a plurality of patterns in communications between the first service and the second service in the log data of the first service; creating, based on the identified plurality of patterns, a baseline for communications between the first service and the second service; detecting an anomalous communication between the first service and the second service, wherein the anomalous communication deviates from the baseline; and performing a mitigation action with respect to the detected anomalous communication.

Abstract: A system and method for securing software as a service (SaaS) platforms by providing inter-service visibility. A method includes identifying, based on log data of a first service, a second service connected to the first service, wherein each of the first service and the second service is a set of functions for performing a respective task, wherein the second service is called by the first service; identifying a plurality of patterns in communications between the first service and the second service in the log data of the first service; creating, based on the identified plurality of patterns, a baseline for communications between the first service and the second service; detecting an anomalous communication between the first service and the second service, wherein the anomalous communication deviates from the baseline; and performing a mitigation action with respect to the detected anomalous communication.

Abstract: An apparatus includes (a) a dial having a front face with indicia thereon and a transparent face plate and a back surface; and (b) a light source attached to the dial and positioned exterior to the transparent face plate and oriented so as to illuminate the face plate. The apparatus is advantageously used to measure blood pressure under adverse lighting conditions.

Abstract: An apparatus includes (a) a dial having a front face with indicia thereon and a transparent face plate and a back surface; and (b) a light source attached to the dial and positioned exterior to the transparent face plate and oriented so as to illuminate the face plate. The apparatus is advantageously used to measure blood pressure under adverse lighting conditions.

Abstract: A noisy audio signal, with user input device noise, is received. Particular frames in the audio signal that are corrupted by user input device noise are identified and removed. The removed audio data is then reconstructed to obtain a clean audio signal.

Abstract: A system and method are provided that reduce noise in speech signals. The system and method decompose a noisy speech signal into a harmonic component and a residual component. The harmonic component and residual component are then combined as a sum to form a noise-reduced value. In some embodiments, the sum is a weighted sum where the harmonic component is multiplied by a scaling factor. In some embodiments, the noise-reduced value is used in speech recognition.

Abstract: Framework for receiving, processing, and re-using personal points of interest (PPOI) information of a user in a location-based application. A telephone dialog system provides location-based information related PPOI of a user. For example, the PPOI information can include major intersections that the user may normally travel, gas stations, clubs, etc., based on real-time data obtained via web services. The PPOI information can be acquired using common names and nicknames, which are added into system lexicon and recognition grammars. Each PPOI is also tagged to the user (or “owner”) who defined it. The PPOI information can also be shared to support a community of users. The framework also resolves conflicting PPOI information between multiple users and multiple locations. PPOI information input by one user can be used to extract demographic information and personal preferences and be re-used by other users by automatically popping up common names and attributes other users entered for the same nickname.

Abstract: A noisy audio signal, with user input device noise, is received. Particular frames in the audio signal that are corrupted by user input device noise are identified and removed. The removed audio data is then reconstructed to obtain a clean audio signal.

Abstract: A route can be optimized according to various constraints, specifically towards non-travel constraints. A number of community activities can take place such that the activities impact traffic. Thus, a route can be produces that lowers an influence the activities have upon a route. Moreover, a route can be produced that improves signal strength, such as strength of a signal used to communicate with a cellular telephone. In addition, a route can be enhanced by taking into account weather conditions, including real-time weather in addition to weather predictions.

Abstract: A user can be compensated for taking detours from a projected route. Commonly, the reason for the compensation is that the user will be subjected to advertising, the user will pass by an establishment she is likely to visit, or to ease traffic congestion. Analysis of an area takes place and monetization opportunities are determined based upon the results of the analysis. A route between at least about two locations can be altered such that the user is provided a reward, commonly in an optimized manner.

Abstract: A microphone array having at least three microphones provides a captured signal. Spatial noise suppression estimates a desired signal from a captured signal using spatio-temporal distribution of the speech and the noise. In particular, spatial information indicative of at least two quantities of direction are used. A first quantity is based on a first combination of the signals from the at least three microphones, a second quantity is based on a second combination of the signals of the at least three microphones.

Abstract: A first set of signals from an array of one or more microphones, and a second signal from a reference microphone are used to calibrate a set of filter parameters such that the filter parameters minimize a difference between the second signal and a beamformer output signal that is based on the first set of signals. Once calibrated, the filter parameters are used to form a beamformer output signal that is filtered using a non-linear adaptive filter that is adapted based on portions of a signal that do not contain speech, as determined by a speech detection sensor.

Abstract: A narrowband power spectrum is converted into a narrowband cepstral vector. A wideband cepstral vector is then estimated from the narrowband cepstral vector, where the wideband cepstral vector represents more frequency components than the narrowband cepstral vector.

Abstract: A method and apparatus are provided that generate values for a first set of dimensions of a feature vector from a speech signal. The values of the first set of dimensions are used to estimate values for a second set of dimensions of the feature vector to form an extended feature vector. The extended feature vector is then used to train an acoustic model.

Abstract: A method and apparatus are provided that use narrowband data and wideband data to train a wideband acoustic model.

Abstract: A system and method are provided that reduce noise in speech signals. The system and method decompose a noisy speech signal into a harmonic component and a residual component. The harmonic component and residual component are then combined as a sum to form a noise-reduced value. In some embodiments, the sum is a weighted sum where the harmonic component is multiplied by a scaling factor. In some embodiments, the noise-reduced value is used in speech recognition.