After telling Baidu's input law to infringe on the headlines, Keda News took the hammer technology new product launch conference and made a headline.
On the evening of October 18, 2016, Hammer Technology released the latest flagship smartphones M1 and M1 Plus. At the meeting, Luo Yonghao, the founder of Hammer Technology, showed the public the many functions of the new flagship mobile phone. Among them, the ultra-precise voice input of the University of Science and Technology won a lot of applause from the audience.
According to Luo Yonghao, the speech recognition rate of the University of Science and Technology has reached 97%. If it is not for those who are very vocal, the words recognized by Xunfei can be sent directly.
â–² Xunfei voice input is hammered (Source: Hammer Technology Weibo)
Voice input is more convenient than keyboard input (no need to use hands), fast (people can speak 150 words per minute, but can only play 40 words), which is the basis of its rise.
The voice input of the University of Science and Technology has revealed the tip of the iceberg for speech recognition applications. In fact, in addition to letting the machine convert speech into text, speech recognition can also convert voice signals into commands, thus becoming the control center in the Internet scene.
Speech recognition blue ocean is coming soon, three applications are expected
In recent years, with the continuous landing of Internet of Things technology and artificial intelligence technology, the importance of speech recognition technology has become increasingly prominent. "Internet Queen" Mary Mickel released the 2016 Internet Trends report, which identified speech recognition technology as an important technology trend. Mary Mickel believes that the future computing interface will be upgraded from keyboard to microphone plus keyboard. .
In addition, Amazon's Echo audio built-in Amazon Alexa voice assistant, Apple on the phone and computer equipped with Siri, Microsoft launched Xiaona and Xiao Bing; Google officially launched Allo for Android and iOS system... Technology giants are Actively promote the development of speech recognition technology.
Stimulated by the above factors, the industry believes that the blue ocean of speech recognition technology is coming soon. From the dynamics of the industry, its application in search engine, smart home and smart car is highly anticipated.
Speech recognition will replace traditional search engines and become an important entry point for the Internet. Amazon Alexa, Siri, Microsoft Xiaona, and Google Allo are all working hard to achieve this goal. After replacing the traditional search engine, voice recognition technology will be able to harvest market segments such as online marketing, user research, and question and answer.
In the smart home field, a number of remote control devices need to be integrated into one device for the user to operate. Most of the time, the smart phone APP functions as this function. After the voice recognition technology is added, the control of each networked device in the home environment can be realized through voice commands, which is more convenient.
In the field of intelligent vehicles, autonomous driving technology is undoubtedly the key point. In addition, speech recognition technology can effectively improve the intelligence of automobiles. For example, it can perform map navigation with full voice interaction, and in-car interaction scenes other than driving (calling, querying weather, playing music, etc.).
Delay and accuracy of two major pain points, speech recognition technology to be improved
The prospect of speech recognition technology is undoubtedly beautiful. However, at this stage, speech recognition is still trapped in technical pain points, and it is difficult to apply it in a wide range, mainly in terms of delay and accuracy.
In terms of voice conversion to text, the speed of companies such as Keda Xunfei has been more acceptable, but in terms of voice commands, Siri, Microsoft Xiaona, etc. will have a delay phenomenon, and the process of machine understanding and response needs to be more More time, but an instruction that requires the user to wait ten seconds or more is difficult to accept.
In terms of accuracy, some media have conducted actual measurements on the voice input of the University of Science and Technology. The results show that in the case of slow speech speed, the University of Science and Technology's voice can quickly translate the voice into text accurately; however, the speed is fast. In the case of mixed Chinese and English, the accuracy has decreased.
In addition, the accuracy of voice input faces the challenges of dialects and usage environments.
Therefore, future speech recognition technology needs to improve in speed and accuracy. Especially for accuracy, the industry believes that when the accuracy of speech recognition technology is increased to 99%, the current rules of human-computer interaction will be rewritten.
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