Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1644-1647. doi: 10.1109/EMBC46164.2021.9629934.
The Mexican Emotional Speech Database is presented along with the evaluation of its reliability based on machine learning analysis. The database contains 864 voice recordings with six different prosodies: anger, disgust, fear, happiness, neutral, and sadness. Furthermore, three voice categories are included: female adult, male adult, and child. The following emotion recognition was reached for each category: 89.4%, 93.9% and 83.3% accuracy on female, male and child voices, respectively.Clinical Relevance - Mexican Emotional Speech Database is a contribution to healthcare emotional speech data and can be used to help objective diagnosis and disease characterization.
墨西哥情感语音数据库及其基于机器学习分析的可靠性评估被提出。该数据库包含 864 个语音记录，具有六种不同的韵律：愤怒、厌恶、恐惧、快乐、中性和悲伤。此外，还包括三个语音类别：女性成人、男性成人和儿童。以下是每个类别的情感识别结果：女性、男性和儿童声音的准确率分别为 89.4%、93.9%和 83.3%。临床相关性 - 墨西哥情感语音数据库是对医疗保健情感语音数据的贡献，可用于帮助进行客观诊断和疾病特征描述。
