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公开(公告)号：US11996118B2
公开(公告)日：2024-05-28
申请号：US17504556
申请日：2021-10-19
Applicant: Tata Consultancy Services Limited
Inventor： Ramesh Kumar Ramakrishnan , Venkata Subramanian Viraraghavan , Rahul Dasharath Gavas , Sachin Patel , Gauri Deshpande
Abstract: An important task in several wellness applications is detection of emotional valence from speech. Two types of features of speech signals are used to detect valence: acoustic features and text features. Acoustic features are derived from short frames of speech, while text features are derived from the text transcription. Present disclosure provides systems and methods that determine the effect of text on acoustic features. Acoustic features of speech segments carrying emotion words are to be treated differently from other segments that do not carry such words. Only specific speech segments of the input speech signal are considered based on a dictionary specific to a language to assess emotional valence. A model trained (or trained classifier) for specific language either by including the acoustic features of the emotion related words or by omitting it is used by the system for determining emotional valence in an input speech signal.
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Patent Agency Ranking
2.发明授权公开(公告)号：US09717100B2
公开(公告)日：2017-07-25
申请号：US14922819
申请日：2015-10-26
Applicant: Tata Consultancy Services Limited
Inventor： Venkata Subramanian Viraraghavan
CPC classification number: H04W74/0833 , H04L27/261 , H04L27/2636 , H04L27/2649 , H04W72/0446 , H04W72/0453
Abstract: The present subject matter discloses a method implemented on a base station for generating Physical Random Access Channel (PRACH) reference segments and detecting PRACH preambles in a Long Term Evolution (LTE) communication system. The base station performs a series of mathematical techniques to generate the PRACH reference segments using a CAZAC sequence used for detecting PRACH preambles. Further, the base station identifies the PRACH by using a signal received by the base station. The base station segments the signal to generate contiguous or non-contiguous segments. Further, the base station uses a segment by segment multiplication and subsequent addition approach performed between values at each frequency location of PRACH frequency segments with a complex conjugate of the values at a corresponding frequency location of a PRACH reference segment. Subsequently the products are added together. The sum is then processed to detect one or more PRACH preambles and timing delays.
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3.发明申请公开(公告)号：US20220061723A1
公开(公告)日：2022-03-03
申请号：US17213371
申请日：2021-03-26
Applicant: Tata Consultancy Services Limited
Inventor： Rahul Dasharath GAVAS , Mithun Basaralu Sheshachala , Debatri Chatterjee , Ramesh Kumar Ramakrishnan , Venkata Subramanian Viraraghavan , Achanna Anil Kumar , Girish Mariswamy Chandra
Abstract: This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.
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4.发明授权公开(公告)号：US11227624B2
公开(公告)日：2022-01-18
申请号：US16812757
申请日：2020-03-09
Applicant: Tata Consultancy Services Limited
Inventor： Gauri Ashutosh Deshpande , Sachin Patel , Mayuri Duggirala , Venkata Subramanian Viraraghavan
Abstract: This disclosure relates generally to speech signal processing, and more particularly to a method and system for processing speech signal for emotion identification. The system processes a speech signal collected as input, during which a plurality of differential features corresponding to a plurality of frames of the speech signal are extracted. Further, the differential features are compared with an emotion recognition model to identify at least one emotion matching the speech signal, and then the at least one emotion is associated with the speech signal.
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5.发明授权公开(公告)号：US11992316B2
公开(公告)日：2024-05-28
申请号：US17213371
申请日：2021-03-26
Applicant: Tata Consultancy Services Limited
Inventor： Rahul Dasharath Gavas , Mithun Basaralu Sheshachala , Debatri Chatterjee , Ramesh Kumar Ramakrishnan , Venkata Subramanian Viraraghavan , Achanna Anil Kumar , Girish Mariswamy Chandra
CPC classification number: A61B5/163 , A61B5/0075 , A61B5/0077
Abstract: This disclosure relates generally to a method and system for assessment of sustained visual attention of a target. The conventional methods utilize various markers for assessment of attention, however, blink rate variability (BRV) series signal is not explored yet. In an embodiment, the disclosed method utilizes BRV series signal for assessing sustained visual attention of a target. A gaze data of the target is recorded using an eye tracker and a set of uniformly sampled BRV series signal is reconstructed from each of the BRV series. One or more frequency domain features, including pareto frequency, are extracted from the set of uniformly sampled BRV series signal. The values of frequency domain features extracted from the set of BRV series signals are compared with corresponding threshold values to determine visual sustained attention of the target.
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公开(公告)号：US11593469B2
公开(公告)日：2023-02-28
申请号：US17212659
申请日：2021-03-25
Applicant: Tata Consultancy Services Limited
Inventor： Tanushree Bannerjee , Venkata Subramanian Viraraghavan , Kartik Muralidharan , Dibyanshu Jaiswal , Mithun Basaralu Sheshachala , Ramesh Kumar Ramakrishnan , Arpan Pal , Balamuralidhar Purushothaman
Abstract: Embodiments herein provide a method and system for continuously validating a user during an established authenticated session using Photoplethysmogram (PPG) and accelerometer data. State of the art approaches are mostly based on feature extraction and ML modelling for PPG based continuous session validation, while a template based approach in the art follows a complicated approach. The method disclosed herein utilizes less computation intensive template based approach to continuously validate the user across the session. The method comprises preprocessing a PPG data or PPG signal acquired from a wearable device worn by the user to identify segments of negligible motion. A first segment, after authentication using conventional authentication mechanism, serves as the initial reference. The chosen segments are then tested one by one with respect to the reference. If the templates in a segment match those of the reference, it is updated as the new reference, else a re-authentication is triggered.
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