Method and a system for capturing conversations

A system for capturing a conversation between a plurality of users, the system comprising:

• a processor;
• and
• a memory communicatively coupled to the processor, wherein the memory stores processor-executable instructions, which, on execution, cause the processor to:
• receive voice inputs from a first user and a second user, wherein the voice inputs are obtained using one or more microphones positioned in the vicinity of each of the first user and the second user, wherein the voice inputs comprise voice attributes;
• segregate the voice inputs into a plurality of voice-fragments, wherein each of the plurality of voice-fragments is associated with one of the first user and the second user;
• convert the plurality of voice-fragments into a plurality of text inputs, using a voice-to-text conversion model;
• identify a context of the conversation from the plurality of text inputs;
• classify the voice-fragments into a first-user category and a second user category based on the voice attributes and the context of the conversation, wherein the first-user category is associated with the voice-fragments received from the first user and the second-user category is associated with the voice-fragments received from the second user;
• fetch a plurality of user profiles from a database, wherein each of the plurality of user profiles comprises at least one of:
• a user data and a voice sample of the user;
• map:
• the context of the conversation with user data of the plurality of user profiles;
• and
• the first-user category voice-fragments with the voice samples of the plurality of user profiles;
• determine an identity of the user based on the mapping;
• and
• update the user profile of the identified user based on the context of the conversation.

A non-transitory computer-readable medium storing computer-executable instructions for capturing a conversation between a plurality of users, the computer-executable instructions configured for:

• receiving voice inputs from a first user and a second user, wherein the voice inputs are obtained using one or more microphones positioned in the vicinity of each of the first user and the second user, wherein the voice inputs comprise voice attributes;
• segregating the voice inputs into a plurality of voice-fragments, wherein each of the plurality of voice-fragments is associated with one of the first user and the second user;
• converting the plurality of voice-fragments into a plurality of text inputs, using a voice-to-text conversion model;
• identifying a context of the conversation from the plurality of text inputs;
• classifying the voice-fragments into a first-user category and a second user category based on the voice attributes and the context of the conversation, wherein the first-user category is associated with the voice-fragments received from the first user and the second-user category is associated with the voice-fragments received from the second user;
• fetching a plurality of user profiles from a database, wherein each of the plurality of user profiles comprises at least one of:
• a user data and a voice sample of the user;
• mapping:
• the context of the conversation with user data of the plurality of user profiles;
• and
• the first-user category voice-fragments with the voice samples of the plurality of user profiles;
• determining an identity of the user based on the mapping;
• and
• updating the user profile of the identified user based on the context of the conversation.