Speech recognition technology and vendor analysis of another major entrance to smart home?
Speech recognition technology is not an emerging technology, and the technical threshold is not too high. Can voice recognition in the smart home market where demand is huge replace smart phones as another big entrance? Which manufacturers in the world are deploying speech recognition technology, and what is the technical principle and difficulty of speech recognition?
The potential of the Internet of Things market is huge and there are many applications. In many applications, smart homes may be given priority. However, in addition to the Internet of Things standards and concepts that hinder the development of smart homes, mobile phones as the primary entry point now greatly affect the experience. Speech recognition is not an emerging technology, but it may be able to make a difference in smart homes and even artificial intelligence.
The potential of the Internet of Things and smart home market can be expected
Market research consultancy Gartner predicts that global shipments of IoT devices will reach 6.6 billion in 2020, while the total number of IoT devices will reach 20.8 billion, and total spending on the Internet of Things will reach approximately $242 billion.
Gartner also predicts that smart home will become the largest user of the Internet of Things after 2017. Some institutions predict that the growth rate of China's smart home market will reach 50.1% in 2016, and maintain this growth rate. By 2018, China's smart home market will reach 139.6 billion yuan, and the market size will account for 32% of the global total. The scale of China's smart home market will reach more than 300 billion yuan. 60% of the global TOP100 telecom operators plan to enter the smart home market, which gives us reason to believe that smart home will become the first Internet of Things application.
Smart home entrance single
Whether it's in formal or informal settings, talking about smart homes can always hear complaints about the phone as the only entrance. For a simple example, when you install a smart light fixture, but you want to open or adjust it, you must first find the phone to open the app. At this time, many people may choose to solve the problem directly with the switch instead of using the mobile phone.
The vision of smart homes is good, but the current experience does have a lot of room for improvement. Regarding the issue of the mobile phone as the only entrance to the smart home, Phillip Zhang Nanxiong, co-founder of the Allah IOT and president of Greater China, said: "The mobile phone may not be the only entrance to the smart home or even the Internet of Things. Speech recognition is a big entrance. Li Qiang, general manager of Midea, also said that the situation of mobile phones as the only entrance to smart homes will be changed.
Speech recognition becomes the focus of competition
It is reported that global artificial intelligence companies specialize in deep learning direction, and more than 70% of the 200 companies in China's artificial intelligence direction focus on image or speech recognition. Which companies in the world are in the process of speech recognition? What is their development situation?
In fact, before the invention of the computer, the idea of ​​automatic speech recognition has been put on the agenda, and the early vocoder can be regarded as the prototype of speech recognition and synthesis. The earliest computer-based speech recognition system was the Audrey speech recognition system developed by AT&T Bell Labs, which recognizes 10 English digits. By the end of the 1950s, Denes of the Colledge of London had added grammatical probabilities to speech recognition.
In the 1960s, artificial neural networks were introduced into speech recognition. Two major breakthroughs in this era were linear predictive coding Linear PredicTIve Coding (LPC) and dynamic time-regulating Dynamic TIme Warp technology. The most significant breakthrough in speech recognition technology is the application of the hidden Markov model Hidden Markov Model. From Baum's related mathematical reasoning, after Rabiner et al., Kai-Fu Lee of Carnegie Mellon University finally realized the first large vocabulary speech recognition system Sphinx based on hidden Markov model.
Apple Siri
Many people know that speech recognition may also be attributed to Apple's famous voice assistant Siri. In 2011, Apple integrated voice recognition technology into the iPhone 4S and released the Siri voice assistant. However, Siri is not a technology developed by Apple, but acquired the technology acquired by Siri Inc., which was founded in 2007. After the release of the iPhone 4s, Siri's experience was not ideal and was squandered. Therefore, in 2013, Apple acquired Novauris Technologies. Novauris is a speech recognition technology that recognizes the entire phrase. Instead of simply recognizing a single phrase, the technique attempts to use more than 245 million phrases to aid in understanding the context, which further simplifies Siri's functionality.
However, Siri has not been perfected by the acquisition of Novauris. In 2016, Apple acquired the artificial intelligence software developed to help computers and users to have a more natural dialogue with British voice technology startup VocalIQ. Subsequently, Apple also acquired EmoTIent, an AI technology company in San Diego, USA, to receive facial expression analysis and emotion recognition technology. It is reported that the emotional engine developed by EmoTIent can read people's facial expressions and predict their emotional state.
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