Voice Detection: AI Makes Baby Care Intelligent

In the progress of constructing an intelligent future, datasets play a vital role. From autonomous driving cars to smart security systems, high-quality datasets provide AI models with massive amount of learning materiel, empowering AI model more adaptable in various real-world scenarios. Companies and researchers through continuously improving the efficiency of data collection and annotation can accelerate the implementation of AI technology, help all industries achieve their digital transformation.

In recent years, the baby industry has developed into a deep-water area. The increase in capital has made the baby market more and more standardized and scaled, and the development route has become clearer and clearer.

The three core trends of investment and financing in the baby industry are: content entrepreneurship, artificial intelligence, and new retail for mothers and babies. Artificial intelligence has long been favored by market players, and baby-empowering AI has become an inevitable result of the mature development of the baby industry.

Babies (0-3 years old) are characterized by the inability to accurately express their intentions in words, and their actions are highly uncertain and dangerous. The application of artificial intelligence technology in the baby product and service industry is of great value. It not only allows babies to receive more humane care, but also reduces the pressure on parents to a certain extent.

Specifically, artificial intelligence for babies mainly includes face recognition and voice detection technologies.

Face Recognition

Several AI companies have developed artificial intelligence baby monitors to keep an eye on babies. Such camera systems collect data on babies around the clock and alert parents if they spot signs of crying, vomiting or distress.

Voice Detection

Speech detection also has important implications for children's medical research. Because infants do not understand expressions, "self-report", an indicator for judging diseases and taking treatment measures, is usually difficult to obtain in the field of pediatrics. By studying the baby's voice and other external manifestations, AI can be used to obtain more accurate positioning, which is conducive to the symptomatic treatment of pediatrics.

Nexdata Baby Speech Data Solution

In the baby care scenarios, Nexdata has developed baby voice detection data to help AI technology recognize baby's voice more accurately.

201 People – Infant Cry Speech Data by Mobile Phone

The 201 People – Infant Cry data collected by phone, developed with proper balance of gender ratio and geographical distribution. The recording devices are various mobile phones. The audio format is 16kHz, 16bit, uncompressed WAV, and all the speech data was recorded in quiet indoor environments. It provides data support for detecting children's crying sound in smart home projects.

20 People – Infant Laugh Speech Data by Mobile Phone

Laugh sound of 20 infants and young children aged 0~3 years old, a number of paragraphs from each of them; It provides data support for detecting children's laugh sound in smart home projects.

41 Hours – Chinese Young Children Speech Data by Mobile Phone and Microphone

The data were recorded by 797 Chinese children aged 3 to 5, of whom 39% were children aged 5. The recording content conforms to the characteristics of children, mainly storybooks, children's songs, spoken language. Around 120 sentences for each speaker. It is simultaneously recorded by hi-fi microphone and cellphone. The valid data are 41.8 hours. Texts are manually transcribed with high accuracy.

With the continuous advance of data technology, we can look expect more innovative AI applications emerge in all walks of life. As we mentioned at the beginning, the importance of data in AI cannot be ignored, and high-quality data will continuously drive technological breakthroughs.