First, intelligent voice assistant accelerates development of technology drive is the main cause
Intelligent voice assistant has become one of the hotspots of CES and MWC in 2017. The built-in intelligent voice assistant products cover many fields and multiple brands of products, such as Ford Motor, Whirlpool, LG and other home appliance manufacturers' washing machines, refrigerators and electric ovens. Such as home appliances, LG home robots and Huawei smartphones, intelligent voice assistants have become the core configuration of many smart products. The Intelligent Voice Assistant presented an accelerated development trend in 2016, which is reflected in the following aspects:
Intelligent voice is rapidly developed with smart home as the entry point. Apple released Smart Voice Assistant as early as 2011, but its rapid development is marked by the rapid development of Amazon Alexa in 2016. First, sales have grown rapidly. Amazon's built-in Alexa voice shopping assistant Echo customer penetration rate has increased from 2% to 5%, as of the end of 2016, Amazon sold a total of 6 million Amazon Echo devices [1]. Second, the intelligent voice assistant function is rapidly improved. Alexa had only 13 built-in skills when it was first released in 2014. It is now compatible with 7000 apps, including Uber, Twitter and other applications. Users can use Echo's voice recognition function to control any networked device such as lights, TV, air conditioner and more. The third is the rapid expansion of ecology. In December 2015, Intel and Amazon announced that they will cooperate on a series of smart home projects in the future and plan to develop an intelligent voice architecture using Intel chips and Amazon Alexa virtual assistants. Automaker Ford also announced cooperation with Amazon at this CES. In the future, car owners will be able to experience Alexa voice service on Ford vehicles, realize voice-activated shopping, search navigation, and even start the engine to unlock, unlock or unlock the voice at home. Car door. Many companies such as LG and GE have reached an agreement with Amazon to embed Alexa in their products.
Deep learning algorithms to help improve speech recognition technology is the main reason for the rapid development of intelligent voice assistants. In the past two years, the deep learning algorithm has been rapidly developed, and its results have been first applied in the field of speech recognition and promoted its breakthrough progress. In 2016, MIT Technology Review combines speech recognition with natural language understanding and rated it as one of the top 10 breakthrough technologies in 2016. The convolutional neural network level (CNN) of the deep learning algorithm applied to speech recognition, from the initial 8 layers, to the 19th, 22nd, and even 152 layers of network structure, and with the deepening of the network structure, the speech recognition error The rate has also gradually decreased from 16.4% in 2012 to 3.57% [2]. Many companies' speech recognition systems have a speech recognition accuracy rate of more than 90%, which has surpassed humans in many occasions.
Second, the intelligent voice assistant will become the new user portal
Voice will become one of the mainstream ways of human-computer interaction. Voice interaction frees people's hands from the touch screen, reducing the amount of time people spend on data entry. However, voice interaction is not suitable for all scenarios. For example, it is impolite to talk to a mobile phone in a public place. At this time, interaction through the screen may be more convenient than voice. Devices that are more suitable for voice applications include home and car, which is one of the reasons why Amazon Alexa is growing faster than Apple Siri.
The current variety of intelligent voice interaction assistants is just the prototype of Virtual Personal Assistant (VPA). VPA will have a complete personal assistant function, which will become the node of user connection service and provide ubiquitous service. VPA will interact with many third-party app programs. Users can tell VPA when they need a certain kind of service. VPA can search and decide which app to call for service. The app will move from desktop to background and become a sub-service of VPA; VPA It also has the ability to learn, grasp the user's preferences and habits according to historical data, pre-judge the user's needs, and provide continuously optimized services that meet the user's personality characteristics.
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