From Speech Recognition to Semantic Analysis Artificial Intelligence TV Enters the 2.0 Era


The overall growth of China's color TV market is sluggish, with annual sales of about 50 million units each year, and new brands are still entering. In particular, the participation of Internet brands in recent years has caused the average profit of the color TV industry to be seriously lowered.
In this background, the upgrading and transformation of the color TV market require new impetus. In March 2016, Google artificial intelligence AlphaGo defeated the world go champion and South Korean Li Shishi, has let ordinary people see the enormous power of artificial intelligence, at the same time, artificial intelligence technology has become the focus of the color TV companies.
At present, the vast majority of color TV brand artificial intelligence televisions mainly "voice recognition" concept, in fact, this "artificial" of artificial intelligence TV is only considered the product of the 1.0 era. It is "semantic analysis" that really enables television to achieve higher IQ. This is the precondition for the artificial intelligence TV industry to enter the 2.0 era.
Why do most color TV companies use "smart voice" as a selling point?
Every year in March and April is the intensive period for China's color TV industry to dedicate annual new products. This year is no exception. What is obviously different from previous years is that color TV companies are not embarrassed to release new products this year if they do not mention “artificial intelligence”.
The industry of artificial intelligence is very large. At present, most artificial TVs launched by color TV companies use "smart voice" as a selling point. This is because intelligent voice control allows users to control their voice when compared to remote control buttons and mobile phone APPs. To solve the problem of “complicated operations and poor interactive experience”, we truly felt the convenience and comfort of smart TVs. A TV that can think and speak like a human would be more attractive to users.
The popular trend of the popularization of this artificial intelligence television was initiated by Changhong. On July 28th, 2016, Changhong released the world's first artificial intelligence TV Q3R series, allowing artificial intelligence technology to formally enter the color TV industry. At the same time, it also let color TV counterparts groan and followed suit.
Subsequently, most of the new products released by color TV brands will be tagged with "voice recognition" and sold under the name of artificial intelligence television.
A high-level Internet TV company executive once put forward a different view on “speech recognition”. He said: “Simple voice and television, casually looking for a third-party company, spending tens of dollars to buy a module, and installing it on the TV, Voice interactions can take place right away. Color TV companies spend so much money on voice, does it make sense?”
Su Zihuan, general manager of Changhong Multimedia Industry Co., Ltd., responded to him very simply: “Voice and semantics are different. Changhong is an artificial intelligence voice TV. It does not care about the voice itself, but the things behind it.”
In fact, "speech recognition" is only the most basic function of artificial intelligence television, and far from enough to represent all of artificial intelligence television.
"Semantic analysis" is a big step ahead of "speech recognition" if the Q3R series released a year ago is an "exploratory product" for the early entry into the artificial intelligence TV field; then, Changhong launched the artificial intelligence on March 28, 2017. The new television series Q5N officially opened a new era in the development of the artificial intelligence television industry.
When most color TV companies still use "speech recognition" as a selling point, the Q5N series has taken the lead in implementing "semantic analysis and accurate recommendation."
The key to intelligent voice control is "semantic analysis." Televisions must be smart enough to understand them and analyze their intentions. Based on "semantic analysis", artificial intelligence TVs should also be "precisely recommended."
The author will give a more general example to illustrate the difference between “speech recognition” and “semantic analysis” at the level of artificial intelligence technology: the user speaks the full name of a specific movie or TV drama to the TV, and the TV will have a voice for the user. Recognize, automatically search for the title, play, this is "speech recognition"; but if the user says "a love movie", "movie action movie", "Hong Kong director's movie", "Hollywood movie "Fuzzy statements, television sets are based on the characteristics of the user's gender, hobbies, and the usual on-demand tendency to carry out intelligent analysis and make accurate recommendations. This is "semantic analysis," which is higher in IQ than "speech recognition." At one level, it takes a big step.
However, at present, most color TV brands still make a big fuss and promote new products at the level of “speech recognition”. In fact, this only touches the fur of artificial intelligence televisions and does not have the technical essence.
The artificial intelligence TV 2.0 era needs a huge amount of speech and semantic thesaurus to support "semantic analysis". It can let artificial intelligence televisions understand what users say, but also understand what users don't say, help users find what they want, thus pushing artificial intelligence TV into the 2.0 era. .
Artificial intelligence TV should have a natural dialogue platform, an aggregation retrieval platform, and a data growth platform. Through accurate and mature intelligent voice manipulation, large-screen television display, and induction, the user can get a more convenient and overall intelligent life experience. This requires huge speech and semantics. Thesaurus is backstage support.
At present, there are very few companies that have built voice and semantic lexicon in the color TV industry themselves.
In color TV companies, Changhong began to be the earliest voice and semantic thesaurus. Through cooperation with third-party companies such as HKUST, China Telecom Changhong built its own intelligent voice technology team. Several years ago, it established a big data company and a cloud computing center, and created a huge voice and semantic thesaurus.
TV companies should rely on voice interaction technology and big data operations to enable AI TVs to achieve deep learning and personalized recommendation, with the three capabilities of cognition, decision-making, and feedback, and to build up and improve video on the basis of tapping massive data from TV users. Massive thesaurus in the section of music, music, etc., as long as users continue to use for a period of time, artificial intelligence TV can grasp its viewing habits and recommend accurate content, so that not only will the user's orders be executed quickly, but also help users think.
Artificial intelligence voice technology has become an important breakthrough in the high-end transformation of the color TV industry. Today, the international IT giants have deployed in the field of artificial intelligence voice, for example, Amazon's Alexa, Google's Google Home, Apple's Siri, Microsoft's Cortana and Samsung's Bixby, and many more.
AI TV manufacturers naturally expect that the technical strength in the field of artificial intelligence voice can be compared with the aforementioned IT predators.
The competition in the color TV industry is being upgraded from the previous "single hardware device competition" to "comprehensive integration of hardware, software, content, and services at the system integration level." The artificial intelligence voice technology has become the color TV industry's Internet, intelligent, high-end An important breakthrough in transition.
Data, algorithms, and hardware are the three most important core competencies for artificial intelligence TVs. Changhong launched the world's first AICenter - a TV-centered artificial intelligence platform. AI Center's "semantic cloud" uses natural speech processing for users, unstructured data, semi-structured data, and simple structured data. Knowledge-based data mining, analysis, and optimization algorithms, with artificial intelligence TV as the core, realize the functions of furniture control, video recommendation, life service, and product service purchase, and create a true smart home system.
With the integration and promotion of artificial intelligence technologies, the home appliance industry is transforming into the “wisdom family” and “smart home” fields.
In order to speed up the development of artificial intelligence industry, the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the Central Government Information Office developed the “Internet +” artificial intelligence three-year action implementation plan in 2016, proposing to create a “smart home "Demonstration Project" encourages domestic enterprises to integrate industrial chain resources, improve the level of intelligence and service capacity of home appliances such as home appliances and durable goods, and create new consumer market space. In 2017, the report of the government work of the two associations proposed to speed up the cultivation and growth of emerging industries. For the first time, “artificial intelligence” was incorporated into the strategic emerging industry development plan.
In the future, under the strong promotion of the government and industry, the artificial intelligence television industry that entered the 2.0 era will continue to develop technically, combining the industries of cloud computing, big data, and the Internet of Things, allowing TV self-learning, self-evolving, and self-development. The upgrade function is more powerful. It appears smarter when answering questions, analyzing problems, and intelligently classifying recommendations. It also understands users better, and can provide services to users and meet individual needs more actively. It has become the most critical hub in smart home systems.

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