公开(公告)号：US20240071373A1

公开(公告)日：2024-02-29

申请号：US18448628

申请日：2023-08-11

申请人： Tata Consultancy Services Limited

发明人： ASHISH PANDA ,  SUNIL KUMAR KOPPARAPU ,  ADITYA RAIKAR ,  MEETKUMAR HEMAKSHU SONI

IPC分类号： G10L15/16

CPC分类号： G10L15/16

摘要： State of the art Acoustic Models (AM), which are trained using data from one environment, may fail to adapt to another environment, and as a result, application is restricted. The disclosure herein generally relates to speech signal processing, and, more particularly, to a method and system for Automatic Speech Recognition (ASR) using Multi-task Learned Embeddings (MTL). In this approach, MTL embeddings are extracted from an MTL neural network that has been trained using feature vectors from a plurality of speech files. The MTL embeddings are then used for generating an acoustic model, which maybe then used for the purpose of Automatic Speech Recognition, along with the feature vectors and the MTL embeddings.

公开(公告)号：US20230300128A1

公开(公告)日：2023-09-21

申请号：US18059541

申请日：2022-11-29

申请人： Tata Consultancy Services Limited

发明人： SUNIL KUMAR KOPPARAPU ,  BIMAL PRAVIN SHAH

IPC分类号： H04L9/40

CPC分类号： H04L63/0869

摘要： This disclosure relates to systems and methods for performing single input based multifactor authentication. Multifactor authentication refers to an authentication system with enhanced security which utilizes more than one authentication forms to validate identity of a user. Conventionally, the process of multifactor authentication is a serial process which involves inputting of authentication information multiple times. However, with conventional approaches, delay is introduced in execution of the multifactor authentication process. The method of the present disclosure addresses unresolved problems of multifactor authentication by enabling two or more factors to be assessed simultaneously making the authentication process faster without sacrificing the robustness of authentication process. Embodiments of the present disclosure analyzes spoken response of the user to a dynamically generated question for multifactor authentication. The system of the present disclosure is modulation, age and language independent, remote authentication enabled, and does not require any additional infrastructure leading to reduced cost.

公开(公告)号：US20180225939A1

公开(公告)日：2018-08-09

申请号：US15457747

申请日：2017-03-13

申请人： Tata Consultancy Services Limited

发明人： SIVAKUMAR SUBRAMANIAN ,  SUNIL KUMAR KOPPARAPU

IPC分类号： G08B13/16 ,  G08B21/04 ,  G08B3/10

CPC分类号： G08B13/1672 ,  G06N5/022 ,  G08B3/10 ,  G08B21/02 ,  G08B21/0415 ,  G08B21/0423 ,  G08B21/0438 ,  G08B21/0469 ,  G08B25/001 ,  G08B29/186

摘要： 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.

公开(公告)号：US20230109692A1

公开(公告)日：2023-04-13

申请号：US17822722

申请日：2022-08-26

申请人： Tata Consultancy Services Limited

发明人： ANUMITA DASGUPTA ,  INDRAJIT BHATTACHARYA ,  GIRISH KESHAV PALSHIKAR ,  PRATIK SAINI ,  SANGAMESHWAR SURYAKANT PATIL ,  SOHAM DATTA ,  PRABIR MALLICK ,  SAMIRAN PAL ,  SUNIL KUMAR KOPPARAPU ,  AISHWARYA CHHABRA ,  AVINASH KUMAR SINGH ,  KAUSTUV MUKHERJI ,  MEGHNA ABHISHEK PANDHARIPANDE ,  ANIKET PRAMANICK ,  ARPITA KUNDU ,  SUBHASISH GHOSH ,  CHANDRASEKHAR ANANTARAM ,  ANAND SIVASUBRAMANIAM ,  GAUTAM SHROFF

IPC分类号： G06Q10/10 ,  G06Q10/06 ,  H04L12/18

摘要： This disclosure relates generally to method and system for providing assistance to interviewers. Technical interviewing is immensely important for enterprise but requires significant domain expertise and investment of time. The present disclosure aids assists interviewers with a framework via an interview assistant bot. The method initiates an interview session for a job description by selecting a set of qualified candidates resume to be interviewed. Further, the IA bot recommends each interviewer with a set of question and reference answer pairs prior initiating the interview. At each interview step, the IA bot records interview history and recommends interviewer with the revised set of questions. Further, an assessment score is determined for the candidate using the reference answer extracted from a resource corpus. Additionally, statistics about the interview process is generated, such as number and nature of questions asked, and its variation across to identify outliers for corrective actions.