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Recently, a report from the other side of the Atlantic has become the focus of many people's attention. The "2019 Voice Technology Report" (hereinafter referred to as the report) released by Mangrove Capital Partners, a well-known investment institution in the United States, pointed out that the scale of the voice economy may reach 1 trillion US dollars in 2025, officially surpassing the mobile application economy. People have already caught some kind of signal. In the past few years, global technology giants such as Google, Microsoft, Amazon, Baidu, etc. have bet on the voice track, and projected in front of people are the following star voice products.
Echo smart speaker, Siri smart phone number list voice assistant, GoogleAssistant Google voice assistant , Cortana (Microsoft Cortana) artificial intelligence assistant, Alexa voice recognition engine, Baidu Xiaodu Assistant (DuerOS). One obvious feeling is that speech recognition is becoming the new mainstream way for humans to communicate with the Internet. But behind the hotly contested rush betting, people can't help but think of the platonic question: what exactly is intelligent voice? Where does it come from? Where are you going? 1. Tech giants grab the beach for smart voice It is not difficult to find "clues" about speech technology from history. As early as 80 years ago, the first machine capable of synthesizing speech was born at Bell Labs in Jasmine Hill, New Jersey, USA.
If the development of speech technology is regarded as a ray, then this lab, known as the world's greatest laboratory, can be seen. as its starting point. In 1954, the blue "giant" IBM worked with Georgetown linguists to successfully develop a machine that could translate 60 Russian sentences into English. Soon after, the first computer-based speech synthesis system was introduced, and speech technology began to be superimposed with increasing imagination. Human beings are the least lacking in two abilities, one is imagination and the other is creativity. But even looking at it decades later, it's hard to predict the trajectory of voice technology.