According to industry forecasts, the scale of China's intelligent voice industry will reach 10.14 billion yuan. The rapid development of the intelligent voice industry will drive the market scale of smart homes, smart cars and smart wearable devices to increase by hundreds of billions. The scale of the intelligent voice market has been expanding rapidly and applied to many fields, which is inseparable from the continuous breakthrough of intelligent voice technology. So, what is the level of our current voice technology? In other words, what kind of human-computer interaction effect can be achieved? Taking the Eurasian team as the representative, let's take a look at the technological breakthroughs in the domestic intelligent voice industry over the years. The technical threshold is high, first of all to ensure the accuracy of speech recognition The Chinese speech recognition research began in 1958, and the Chinese Academy of Sciences Institute of Acoustics used the electronic tube circuit to identify 10 vowels. Although it was synchronized with the start time of foreign speech recognition research, due to the limitations of the conditions at the time, the technology progressed slowly in the following period. At first, the research on speech technology in China has always been dominated by academia, and then companies have gradually entered this field. Due to the high barriers to entry and the scarcity of talents in speech recognition technology, after years of research and exploration, some domestic enterprises have finally taken the lead in this industry and formed a situation of “one super and many strongâ€. The Eurasian team has been researching smart speech for five years. In the early days, Euler Honey began to invest in artificial intelligence related research with the goal of designing a Chinese understanding ability beyond Siri's intelligent voice assistant. The long-term goal is to provide a full range of human-computer interaction solutions. In the past five years, Euler has broken many technical difficulties. The first thing to solve is the accuracy of speech recognition. Voice human-computer interaction faces multiple technical challenges. For example, the vocal distance cannot be too far, the pronunciation should be standard, the environment should be quiet, the dialogue cannot be continued, and the interruption cannot be interrupted... (Eura Honey Development Kit pickup test video screenshot) The Euler honey team focused on solving these speech recognition problems. At present, Euler's vocal recognition accuracy is as high as 90%, and it can realize ultra-long-distance recognition (the farthest can accurately recognize the vocals with a distance of 8 meters). At the same time, the Euler honey team developed a speech recognition technology and core algorithms with strong anti-noise ability, including voice activity detection (Voice AcTIvity DetecTIon | Speech AcTIvity DetecTIon), echo cancellation algorithm (Acoustic Echo Cancellation), noise processing algorithm (Noise Reduction & Cancellation), reverberation and other patented technologies. Euler has also provided deep customization services for corporate users, such as training children's voices and noisy ambient sounds, to achieve high accuracy of speech recognition under special requirements. The difficulty lies in the understanding and processing of natural language semantics "How much can you wear?" The meaning of this sentence is whether you want to "wear more" or you want to "less wear". Similarly, in the Chinese context, similar ambiguous sentences are not rare. For example, "China team defeated Germany team", I do not know whether China won Germany, or Germany won China; "Xiao Wang and I took a vacation", I do not know if Xiao Wang asked me for leave, or Xiao Wang and I both Please take a vacation... Then, in the context of this ambiguity, we need more information to clarify the meaning of the original sentence. There are several existing technologies and solutions for the more common NLP/NLU. First, it is based on keywords and simple rules, but such a high rate of mistakes, ambiguity, and can not accurately capture parameters; second, based on the extension of ASR syntax, but this method has limited description ability and low scalability; Statistical parsing algorithm, the accuracy and performance of this algorithm is not high enough, and it is not easy to deal with context problems; finally, it is programming to handle grammar expansion, but the complexity of this program is very high. So, how does Euler honey solve this problem? The Syntax Language, developed by the Euler Honey team, can be described in terms of flexible rules. At the same time, relying on a structured knowledge base that can be fully retrieved, it helps to determine the legality of grammatical parameters and eliminate ambiguity. Euler honey uses organic algorithms combined with rules and statistics, time and digital recognition technology, dynamic analysis and matching rules with compiler technology, enabling multi-dimensional context support and accurate understanding of user's intentions. (The picture above is a screenshot of the Euler Honey Voice Assistant) For example, when the user continuously enters "the weather in Shanghai today", "Beijing", "buy a ticket to go there." After algorithm processing and database retrieval, Euler honey can accurately understand “Beijing†as “how the weather is today in Beijing†and give the weather conditions in Beijing that day. Similarly, Euler honey can also obtain the "where" in the last sentence refers to "Beijing", and feedback the local ticket information to Beijing. Voice human-computer interaction assisted by visual behavior detection technology If human-computer interaction can be more "smart", what capabilities should it have? The Euler honey team further improved the wake-up function of the voice robot to make the human-computer interaction more smooth. The mainstream smart audio on the market is currently using voice wake-up. Since the smart stereo has no screen, everything is controlled by voice, and the wake-up function is no exception. A wake-up speech (usually the name of the product) is often used as a start-up sign. When people say this to a smart stereo, the smart stereo responds and begins to receive the message you pass to it. You might say that voice wake-up is already very convenient. Is there any room for improvement? Imagine that in daily life, when we want to talk to another person, we often face him. At this time, we don't need to call the other person's name, and the other party knows that we are talking to him. If the machine can do the same, then "woke up" can be omitted. (European face and sight tracking video screenshot) Euler honey is to give the voice robot such a "humanized" function. Therefore, the Euler honey team uses sound source localization and combines Eye Gaze Detection technology to help the robot confirm the user's speech. In this way, in addition to knowing that you are talking, the robot can also determine if you are talking to it and automatically wake up.
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