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Speech recognition technology is applied to intelligent driving and intelligent medical care

Speech recognition technology is applied to intelligent driving and intelligent medical care

Speech recognition is a cutting-edge technology that integrates knowledge of multiple disciplines, and is a key link in human-computer interaction technology. With the continuous development of science and technology, speech recognition technology has been widely used in all aspects of our work and life. For example, language input methods and voice assistants in our mobile phones; Tmall Genie at home, voice-activated sensor lights; smart wearable devices, smart car devices, etc. The core technology of these is voice recognition.

Voice Recognition Feature Springwise

On August 17, 2019, the Beijing Internet Court promulgated the “White Paper on the Judicial Application of Internet Technology”, which elaborated on the relevant content of speech recognition technology. Speech recognition technology uses super-large-scale language pattern recognition and autonomous learning technology to predict the dialogue context, realize multi-service applications, multi-role distinction, intelligent sentence segmentation and automatic generation of hot words, effectively improving people’s work efficiency. Many experts believe that speech recognition technology is one of the top ten important scientific development technologies in the field of information technology from 2000 to 2010. The fields involved in speech recognition technology include: signal processing, pattern recognition, probability theory and information theory, vocal mechanism and auditory mechanism, artificial intelligence, etc. It is a very developed science and technology.


Taking smart driving in-vehicle intelligent voice as an example, voice recognition is its core technology. Speech recognition is actually composed of four parts: one is the acoustic model, the other is the language model, three decoders, and finally a process of feature extraction. In the driving process of the user, simple “active control” is only the first step, and the next-generation car voice assistant is bound to change to a more personalized and emotional voice interaction direction. The reason why users use smart language assistants has been attracted by the feature of “freeing hands” for a long time. Imagine that while you are driving, who do you want to call, or need to navigate somewhere, whether it is for safety or portability, voice recognition is the best choice. Relying on voice recognition technology, users can enjoy a more direct and personalized experience during driving. With the continuous intelligent upgrade of traditional automobile performance, better experience of human-computer interaction in the car has gradually become the focus of competition among major automobile manufacturers. Judging from the current development of various functions of the vehicle-machine intelligent interconnection system, the development of traditional intelligent voice control to AI intelligent voice interaction is a major trend. With the continuous development of science and technology, intelligent voice recognition will bring us more convenience, and it will also become our intelligent life assistant.

As a professional artificial intelligence basic data service provider, Technology provides a large amount of accurate data collection and labeling, and provides standard data sets for enterprise core algorithm training.  Technology has cooperated with a smart car brand on vehicle labeling projects for many times. It not only provides customers with a large amount of labeling data with high accuracy, but also accumulates a lot of project experience. evaluate.

people using voice recognition vector

In terms of medical application, due to the continuous development of medical information construction in our country, medical staff need to complete a large amount of text input work every day. According to incomplete statistics, the working time of text input accounts for 20%-30% of the working time of doctors. The timeliness, portability and accuracy of text input affect the overall work efficiency, medical cost and medical quality of the hospital to a certain extent. Language recognition technology is an ideal human-computer interaction method in clinical practice. The emergence of electronic medical records can improve doctors’ work efficiency and reduce their work intensity to a certain extent, so as to reduce the hospital’s operating costs, which is more conducive to the better development of hospitals. At present, many hospitals such as Beijing Protocol Hospital, Peking University Stomatological Hospital, Qingdao University Affiliated Hospital have applied language recognition technology to clinical work, bringing convenience to their work.

In the field of telecommunications, language recognition not only improves customer experience from multiple dimensions, but also prevents telecommunications fraud through keyword retrieval. It collects call recordings and analyzes their content to determine whether the call content involves telecommunications fraud, which can be compared Good prevention. In addition, many banks have also begun to use language recognition technology to reduce the occurrence of fraudulent use of other people’s ID cards for loans.


But judging from the current technological progress and industrial development, speech recognition technology is not completely reliable due to the risk of dehumanization, remote control and low accuracy. Take the simplest mobile phone language input as an example, sometimes it cannot translate the inputter’s language completely and accurately, and is easily disturbed by external factors.

As a professional data collection company,  Technology has been working in the field of data collection and labeling for many years, and has built multiple information collection and labeling bases around the world, with a large amount of accurate data. For example, 1,000 hours of adult Chinese language mobile phone collection data, 1,000 hours of Chinese children’s Putonghua mobile phone collection data, multi-language language data sets of 1,000 hours each, and multi-dialect language data sets of 800 hours each, etc., to provide data support for speech recognition technology.

From the perspective of technological development and industry progress, although speech recognition technology is still unable to solve some recognition problems of unlimited scenes and unlimited crowds, it has been used in many real scenarios, and basically meets the needs of the industry and solves many basic problems. problem, and has great prospects for development.

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