| 1. | Speech emotion recognition using acoustic features
基于语音声学特征的情感信息识别 |
| 2. | Research on emotion recognition of speech signal based on hmm
的语音信号情感识别研究 |
| 3. | Support vector machines for emotion recognition in chinese speech
基于支持向量机的语音情感识别 |
| 4. | The development of young children ' s emotion recognition and its relation to their social adaptive behaviors
幼儿的情绪认知发展及其与社会行为发展的关系研究 |
| 5. | The present data demonstrates ( 1 ) the abuse style and the neglect style of parenting have the nonrandom effect on children ' s emotion recognition abilities
通过数据分析，我们发现： ( 1 )虐待型和忽略型的抚养方式对儿童的表情认知能力有影响。 |
| 6. | In the paper , the researcher examined 95 young children ' s emotion recognition ability using facial emotion recognition task and emotion recognition task of actual situations
摘要本研究采用面部表情辨别和实际情境下的情绪认知两种实验任务测查了95名3 ~ 5岁幼儿的情绪认知能力。 |
| 7. | Finally , this thesis constructs the system of speech emotion recognition by importing the processed cepstral features to neural network model , and proves the efficiency of the proposed method according to the experiments
最后,本文将处理后的频谱特征参数同原有的人工神经网络模型有效地结合起来,形成完整的语音情感识别系统,取得了较为满意的识别结果。 |
| 8. | The results indicate that young children ' s emotion recognition ability increases with the age , but every emotion has its own developmental mode and there are no differences between girls and boys in the ability
结果表明： ( 1 )幼儿的情绪认知能力存在显著的年龄差异，随着年龄的增长而增长，但每种具体情绪的发展模式不同； ( 2 )幼儿的情绪认知能力不存在显著的性别差异。 |
| 9. | The study on the speech emotion recognition has found very important realistic values in such aspects as enhancing the intelligence and humanity of computer , developing new human - machine environment , improving speech recognition results
语音情感识别的研究对于增强计算机的智能化和人性化,开发新型人机环境,以及提高语音识别系统的性能等方面,均有着非常重要的现实意义。 |
