Voice and emotion recognition based on language processing with the use of artificial intelligence in therapy

Artificial intelligence (AI) can offer innovative solutions to various therapy-related challenges. AI can analyze speech during therapy sessions to assess emotional states, detect changes in mood, and provide feedback to therapists. AI can assist therapists by providing insights based on client data, helping them make more informed decisions during therapy sessions. This article presents the process of Voice recognition based on language processing with the help of artificial intelligence in the treatment room is defined and the conditions required for its use are reviewed. Finally, a model is presented to show how the framework of these voice and language processes in the treatment room should be done during a dialogue, and based on it, the client's emotions and feelings can be considered during this process, and based on that The intelligent agent can help the therapist in diagnosing disorders.

کلیدواژه ها:

Artificial intelligence ، Client ، Deep learning ، Emotion ، Intelligent agent ، Natural language ، processing (NLP) ، ، Therapy ، Voice recognition