Currently, there is a lack of voice samples in the speech emotion recognition field, which leads to poor recognition rate and over-fitting of data. Inspire by this, we propose speech emotion recognition based on data enhancement. The Berlin Emotional Corpus is enhanced from two directions: Time Domain and Frequency Domain. The samples was extracted and trained. Research and analyze the recognition rate of two classifiers: K-Nearest Neighbor and Support Vector Machine. Experiments show that the effect after data enhancement is better.
KEYWORDS: Humidity, Data acquisition, Sensors, Data storage, Microcontrollers, Safety, Computing systems, Data processing, Local area networks, Telecommunications
Currently, there is only one monitor of the temperature and humidity in an incubator, which may cause inaccurate or unreliable data, and even endanger the life safety of the baby. In order to solve this problem,we designed a multi-point temperature and humidity monitoring system for incubators. The system uses the STC12C5A60S2 microcontrollers as the sender core chip which is connected to four AM2321 temperature and humidity sensors. We select STM32F103ZET6 core development board as the receiving end,cooperating with Zigbee wireless transmitting and receiving module to realize data acquisition and transmission. This design can realize remote real-time observation data on the computer by communicating with PC via Ethernet. Prototype tests show that the system can effectively collect and display the information of temperature and humidity of multiple incubators at the same time and there are four monitors in each incubator.
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