語音為人們重要的交流媒介之一，語言信號中包含了許多豐富的情感資訊。本專

語音為人們重要的交流媒介之一，語言信號中包含了許多豐富的情感資訊。本專題開發一個自我評估情緒的電腦系統程式與APP，研究語言及音調與情緒之關聯，透過語言語料庫的建立以及音調的分析方式，來推算、評估個人的心理狀態，包含了憂鬱、焦慮、悲傷、害怕與生氣。設計一款用語音辨識自我有無負面情緒的系統。透過與專業的心理諮商師合作，將諮商師與患者談話所得到的寶貴經驗，包含說話內容與音調特徵，來當作本專題評估使用者當時的心理狀態之準則。使用者可以使用本系統了解自我情緒，能長期觀察自身情緒之變化，做到自我判斷，當發現有狀況時，也可以尋求協助，防患未然。

結果 (英文) 1:

Voice is one of the people important medium of communication, language signal contains many rich emotional information. The topic to develop a self-assessment study related emotions computer system program and APP, the language and the tone and mood of, by analyzing the way the establishment of language corpus and tones to project, assess the individual's mental state, including depression, anxiety, sadness , afraid and angry. Design a self-identification of the presence or absence of negative emotions with voice systems. By working with professional psychological consultative division, the division consultative conversation with the patient obtained valuable experience, contain the content of speech and tonal characteristics to the topic as a criterion to evaluate the user's mental state at the time. The user can use the system to understand the emotional self, long-term observation of changes of their own emotions, so that self-judgment, when found to have status, you can also seek the assistance of a precautionary measure.

結果 (英文) 2:

Speech is one of the most important communication media, and language signal contains a lot of rich emotional information. This topic develops a computer system program and APP for self-assessment of emotions, studies the correlation between language and tone and emotion, and calculates and evaluates an individual's psychological state through the establishment of language library and the analysis of tones, including depression, anxiety, sadness, fear and anger. Design a system that uses speech recognition to have negative emotions. By working with a professional psychologist, the valuable experience gained by the consultant's conversation with the patient, including the content of the conversation and the characteristics of the tone, is used as a guideline for evaluating the user's mental state at the time of this topic. Users can use the system to understand their emotions, can long-term observation of their own mood changes, self-judgment, when found that the situation, can also seek assistance, prevention.

結果 (英文) 3:

Speech is one of the most important communication media for people, which contains a lot of emotional information. This project develops a computer system program and app for self-assessment of emotions. It studies the relationship between language and tone and emotions. Through the establishment of language corpus and the analysis of tone, it calculates and evaluates the psychological state of individuals, including depression, anxiety, sadness, fear and anger. A speech recognition system is designed to identify whether there is negative emotion or not. Through cooperation with professional counselors, the valuable experience gained from the conversation between Counselors and patients, including speaking content and tone characteristics, will be used as the criteria for the assessment of users' psychological state at that time. Users can use this system to understand their own emotions, observe the changes of their own emotions for a long time, and make self judgment. When they find a situation, they can also seek assistance to prevent the situation from happening.