AI for Speaker Tracking & Analysis Python
Budget: $250 – $750 USD
My startup company has a MVP mobile app that transcribes user's conversations and does diarisation (Deepgram), sentimental analysis (GPT-4), reflected in scores of speakers, and provides a summary (GPT-4) of conversation.
If it is an audio with 5 speakers, the IndividualRecord page will have 5 such windows with scores.
All outputs from the backend with speakers, scores, summary and full text are stored in the Firestore database.
Current general working principle of this MVP: analysis of INDIVIDUAL, INDEPENDENT audio conversations (meetings, appointments, chats) WITHOUT ANY GENERALIZATION over ALL conversations, speakers.
Desired general working principle of this MVP should be: analysis of SAME SPEAKERS OVER DIFFERENT INDEPENDENT AUDIO.
Full task https://docs.google.com/document/d/1evX_jqgqrkJg2YLn-aK01Fc2PrM_Y2MfZXegdpito5o/edit
If it is an audio with 5 speakers, the IndividualRecord page will have 5 such windows with scores.
All outputs from the backend with speakers, scores, summary and full text are stored in the Firestore database.
Current general working principle of this MVP: analysis of INDIVIDUAL, INDEPENDENT audio conversations (meetings, appointments, chats) WITHOUT ANY GENERALIZATION over ALL conversations, speakers.
Desired general working principle of this MVP should be: analysis of SAME SPEAKERS OVER DIFFERENT INDEPENDENT AUDIO.
Full task https://docs.google.com/document/d/1evX_jqgqrkJg2YLn-aK01Fc2PrM_Y2MfZXegdpito5o/edit