Abstract: Devices and methods are provided for non-invasive goal oriented and personalized monitoring of substance consumption directed towards aiding reduction of substance intake by a user. Based on the substance consumption characteristics and the user's profile, the user's substance consumption profile is identified and average amount of the substance in the body at a given time is computed. A threshold corresponding to amount of substance the body can sustain is then computed based on goals set by the user and the substance consumption characteristics and the user's profile. Alerts can be generated and transmitted to the user based on pre-determined conditions to help the user achieve his set goals.

Abstract: A system and method to detect an event by analyzing sound signals received from a plurality of configured sensors. The sensors can be fixed or mobile and sensor activity is tracked in a sensor map. The frame analyzer of the system compares sound signals received from the sensors and applies knowledge data to determine if any deviation observed can be determined to be an uncharacteristic event. A rule data set comprising priority data, type of event, location is applied to the output of the frame analyzer to determine if the uncharacteristic sound observed is an event. On detection of an event, alerts are issued to appropriate authority. Further, sound frame and contextual data associated with the event are stored to serve as continuous learning for the system.

Abstract: A system and method for quantification of Escherichia Coli bacteria in water is disclosed. In an embodiment, a region of interest (ROI) is obtained from an image of the water. For example, the ROI includes a plurality of pixels in the image of water contaminated with Escherichia Coli bacteria. Further, a plurality of red pixels are identified from the ROI based on a value of the plurality of pixels in the ROI and a threshold value. Furthermore, total redness of the plurality of red pixels in the ROI is calculated based on intensity of plurality of red pixels. In addition, a redness factor indicative of a degree of redness of the ROI is computed based on the calculated total redness. Quantification of the Escherichia Coli bacteria is then estimated based on the computed redness factor.

Abstract: Text output of speech recognition engines tend to be erroneous when spoken data has domain specific terms. The present disclosure facilitates automatic correction of errors in speech to text conversion using abstractions of evolutionary development and artificial development. The words in a speech recognition engine text output are treated as a set of injured genes in a biological cell that need repair which are then repaired and form genotypes that are then repaired to phenotypes through a series of repair steps based on a matching, mapping and linguistic repair through a fitness criteria. A basic genetic level repair involves phonetic MATCHING function together with a FITNESS function to select the best among the matching genes. A second genetic level repair involves a contextual MAPPING function for repairing remaining ‘injured’ genes of the speech recognition engine output. Finally, a genotype to phenotype repair involves using linguistic rules and semantic rules of the domain.

Abstract: A system and method for virtual portioning of content on a mobile device, comprising assigning each content of the plurality of content stored on the mobile device one or more tags based on a predefined environment information, identifying, a surrounding environment surrounding the mobile device in real time, associating a tag with the identified surrounding environment wherein the tag is one of the one or more tags assigned to each of the plurality of content; and controlling access to the plurality of content stored on the mobile device wherein access is granted to a portion of the content when at least one of the one or more tags assigned to each of the portion of the content matches the tag associated with the identified environment.

Abstract: A system and method to insert visual subtitles in videos is described. The method comprises segmenting an input video signal to extract the speech segments and music segments. Next, a speaker representation is associated for each speech segment corresponding to a speaker visible in the frame. Further, speech segments are analysed to compute the phones and the duration of each phone. The phones are mapped to a corresponding viseme and a viseme based language model is created with a corresponding score. Most relevant viseme is selected for the speech segments by computing a total viseme score. Further, a speaker representation sequence is created such that phones and emotions in the speech segments are represented as reconstructed lip movements and eyebrow movements. The speaker representation sequence is then integrated with the music segments and super imposed on the input video signal to create subtitles.

Abstract: A method and system is provided for estimating clean speech parameters from noisy speech parameters. The method is performed by acquiring speech signals, estimating noise from the acquired speech signals, computing speech features from the acquired speech signals, estimating model parameters from the computed speech features and estimating clean parameters from the estimated noise and the estimated model parameters.

Abstract: The present disclosure envisages a computer implemented system for identifying significant speech frames within speech signals for facilitating speech recognition. The system receives an input speech signal having a plurality of feature vectors which is passed through a spectrum analyzer. The spectrum analyzer divides the input speech signal into a plurality of speech frames and computes a spectral magnitude of each of the speech frames. There is provided a suitability engine which is enabled to compute a suitability measure for each of the speech frames corresponding to spectral flatness measure (SFM), energy normalized variance (ENV), entropy, signal-to-noise ratio (SNR) and similarity measure. The suitability engine further computes a weighted suitability measure for each of the speech frames.

Abstract: A method and system for identifying personal context of a user having a portable mobile communication device at a particular location for deriving social interaction information of the user, wherein the user within a predefined range is identified using personal context of the user at the particular location and the identified personal context of the user is assigned with the confidence value. Further the current location information of the user within the particular location is obtained by fusing assigned confidence value. Further the proximity of the user in the current location is estimated by finding the accurate straight line distance between users. Further the two users having similar current location information at the particular location are grouped together with the predefined density criteria. Finally the social interaction information of the user is derived by multimodal sensor data fusion at the fusion engine and represented using a human network graph.

Abstract: A method and system for construction and rendering of annotations associated with an electronic image is disclosed. The system comprises a first data repository for storing the electronic image, which has a plurality of pixels, with one or more pixels annotated at a plurality of levels, which contain descriptive characteristics of the pixel, in ascending magnitude, such that the descriptive characteristics at a subsequent level are with reference to descriptive characteristics of one or more pixels surrounding the pixel. The system comprises a second data repository for storing the annotations. An image display module is configured to display the electronic image. A pixel and level identification module is configured to receive pixel and level selection details from a user-interface. An annotation retrieval module is configured to retrieve annotations corresponding to the pixel and level selection from the second repository and renders the retrieved annotations for the electronic image.

Abstract: A system and method for quantification of Escherichia Coli bacteria in water is disclosed. In an embodiment, a region of interest (ROI) is obtained from an image of the water. For example, the ROI includes a plurality of pixels in the image of water contaminated with Escherichia Coli bacteria. Further, a plurality of red pixels are identified from the ROI based on a value of the plurality of pixels in the ROI and a threshold value. Furthermore, total redness of the plurality of red pixels in the ROI is calculated based on intensity of plurality of red pixels. In addition, a redness factor indicative of a degree of redness of the ROI is computed based on the calculated total redness. Quantification of the Escherichia Coli bacteria is then estimated based on the computed redness factor.

Abstract: The present disclosure envisages a computer implemented system for identifying significant speech frames within speech signals for facilitating speech recognition. The system receives an input speech signal having a plurality of feature vectors which is passed through a spectrum analyzer. The spectrum analyzer divides the input speech signal into a plurality of speech frames and computes a spectral magnitude of each of the speech frames. There is provided a suitability engine which is enabled to compute a suitability measure for each of the speech frames corresponding to spectral flatness measure (SFM), energy normalized variance (ENV), entropy, signal-to-noise ratio (SNR) and similarity measure. The suitability engine further computes a weighted suitability measure for each of the speech frames.

Abstract: The present disclosure generally relates to broadcasting and telecommunication and, more particularly, to broadcasting of text and visual messages over a geographical area. In one embodiment, a visual information broadcaster is disclosed, comprising: a hardware processor; and a memory coupled to the processor, wherein the memory comprises a plurality of modules capable of being executed by the processor to perform operations, and wherein the plurality of modules comprises: a receiving module configured to receive a first input comprising a string of characters selected from a text, an image, or a combination thereof, a transforming module configured to transform the first input into a first image having at least two dimensions; an encoder module configured to convert the first image into a one-dimensional signal waveform; and a modulator module configured to modulate the one-dimensional signal waveform for transmission via a modulated one-dimensional signal waveform.

Abstract: The present disclosure relates generally to interactive response systems, and more particularly to systems and methods for providing multi-modality interaction between communication devices. In one embodiment, a multi-modality interactive system is disclosed, comprising: a processor; and a memory storing processor-executable instructions comprising instructions to: obtain a request to initiate an interactive session with a communication device; obtain interactive session data for communication to the communication device; select a modality for the interactive session data, by analyzing one or more parameters associated with the interactive session data and the communication device; convert a format of the interactive session data according to the selected modality; and transmit the interactive session data in the converted format to the communication device.

Abstract: A method and system for identifying personal context of a user having a portable mobile communication device at a particular location for deriving social interaction information of the user, wherein the user within a predefined range is identified using personal context of the user at the particular location and the identified personal context of the user is assigned with the confidence value. Further the current location information of the user within the particular location is obtained by fusing assigned confidence value. Further the proximity of the user in the current location is estimated by finding the accurate straight line distance between users. Further the two users having similar current location information at the particular location are grouped together with the predefined density criteria. Finally the social interaction information of the user is derived by multimodal sensor data fusion at the fusion engine and represented using a human network graph.

Abstract: The present disclosure generally relates to broadcasting and telecommunication and, more particularly, to broadcasting of text and visual messages over a geographical area. In one embodiment, a visual information broadcaster is disclosed, comprising: a hardware processor; and a memory coupled to the processor, wherein the memory comprises a plurality of modules capable of being executed by the processor to perform operations, and wherein the plurality of modules comprises: a receiving module configured to receive a first input comprising a string of characters selected from a text, an image, or a combination thereof, a transforming module configured to transform the first input into a first image having at least two dimensions; an encoder module configured to convert the first image into a one-dimensional signal waveform; and a modulator module configured to modulate the one-dimensional signal waveform for transmission via a modulated one-dimensional signal waveform.

Abstract: The present invention proposes a system and a method to enable an IVR mashup interface to ease the selection of services over a communication device and enhances the caller experience by ways of personalizing the call and making effective use of the call hold time. The said system and method as implemented by the mashup server automatically connects the caller to the most immediate service offering service provider after simultaneously placing of the call to various service providers. In the mean time, the mashup server simultaneously calculates the wait time to get connected to service provider after a call is made to mashup service and relays appropriate promotional content to the caller based on such wait time and the profile of the user. Further the system and method as proposed is capable of representing a user and transact on behalf of the user by talking to the live agents or interacting with the automated IVR systems representing the service providers.

Abstract: The present invention relates to a method and system for online script independent recognition of handwritten sub-word unit and words. More particularly the present invention relates to a system and method which enables online recognition of script independent sub-word unit and words by recognizing the written individual strokes prior to recognition of sub-word unit and words. The present invention provides an easy and natural to use method for handwritten sub-word unit and word recognition, wherein the application can be deployed on the existing communication means.

Abstract: The present invention is related to improving a conversation quality of calls in a call center setup/environment. The system of the present invention allows monitoring of several live ongoing audio conversations to alert supervisor regarding vulnerable/deviations in the call being handled by a call center agent. The alerts are displayed on the supervisor console by way of providing graphical visual display in order to seek attention of the supervisor. The system also facilitates the supervisor to listen to the live conversation on his desktop by clicking on the visual display.

Abstract: The present disclosure relates generally to interactive response systems, and more particularly to systems and methods for providing multi-modality interaction between communication devices. In one embodiment, a multi-modality interactive system is disclosed, comprising: a processor; and a memory storing processor-executable instructions comprising instructions to: obtain a request to initiate an interactive session with a communication device; obtain interactive session data for communication to the communication device; select a modality for the interactive session data, by analyzing one or more parameters associated with the interactive session data and the communication device; convert a format of the interactive session data according to the selected modality; and transmit the interactive session data in the converted format to the communication device.