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Inner Me: An AI-Assisted Framework for Automated Psychotherapy Session Transcription, Emotion Analysis, and Summarization
Subject area: Science,Engineering and Technology · Area of research: Artificial intelligence
DOI: https://doi.org/10.64388/IREV9I6-1712895
Abstract
Psychotherapy sessions generate large volumes of unstructured conversational data that must be documented, analyzed, and reviewed by therapists. Manual transcription and subjective interpretation of emotional cues are time-consuming and cognitively demanding. This paper presents Inner Me, an AI-assisted framework designed to support psychotherapists through automated speech-to-text transcription, emotion recognition, session summarization, and interactive question?answering.
Keywords
Artificial Intelligence, Psychotherapy, Speech-to-Text, Emotion Recognition, Natural Language Processing
How to cite this paper
@article{1712895,
author = {Pooja Patil, Prof. Shendage},
title = {Inner Me: An AI-Assisted Framework for Automated Psychotherapy Session Transcription, Emotion Analysis, and Summarization},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {6},
pages = {1256-1256},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712895.pdf},
abstract = {Psychotherapy sessions generate large volumes of unstructured conversational data that must be documented, analyzed, and reviewed by therapists. Manual transcription and subjective interpretation of emotional cues are time-consuming and cognitively demanding. This paper presents Inner Me, an AI-assisted framework designed to support psychotherapists through automated speech-to-text transcription, emotion recognition, session summarization, and interactive question?answering.},
keywords = {Artificial Intelligence, Psychotherapy, Speech-to-Text, Emotion Recognition, Natural Language Processing},
month = {December},
doi = {https://doi.org/10.64388/IREV9I6-1712895}
}