Deep learning revolutionizes conversational AI

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To learn more about conversational AI, check out Yishay Carmiel's session Applications of neural-based models for conversational speech at the Artificial Intelligence Conference in San Francisco, Sept. 17-20, 2017. The dream of speech recognition is a system that truly understands humans speaking--in different environments, with a variety of accents and languages. For decades, people tackled this problem with no success. Pinpointing effective strategies for creating such a system seemed impossible. In the past years, however, breakthroughs in AI and deep learning have changed everything in the quest for speech recognition.


Baidu Research Artificial Intelligence Deep Learning Image Recognition Speech Recognition

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Co-located in Silicon Valley and Beijing, Baidu Research brings together top talent from around the world to focus on future-looking fundamental research in artificial intelligence. Our research directions include deep learning, computer vision, speech recognition and synthesis, natural language understanding, data mining and knowledge discovery, business intelligence, artificial general intelligence, high performance computing, robotics and autonomous driving. At Baidu Research, we aim to revolutionize human-machine interfaces with the latest artificial intelligence techniques. Our Deep Voice project was [...] The AAAI (Association for the Advancement of Artificial Intelligence) is one of the world's premiere artificial conferences, with annual summits [...] Today, we are excited to announce the hiring of three world-renowned artificial intelligence scientists, Dr. Kenneth Church, Dr. Jun Huan [...]


Microsoft researchers achieve speech recognition milestone - Next at Microsoft

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Microsoft researchers have reached a milestone in the quest for computers to understand speech as well as humans. Xuedong Huang, the company's chief speech scientist, reports that in a recent benchmark evaluation against the industry standard Switchboard speech recognition task, Microsoft researchers achieved a word error rate (WER) of 6.3 percent, the lowest in the industry. In a research paper published Tuesday, the scientists said: "Our best single system achieves an error rate of 6.9% on the NIST 2000 Switchboard set. We believe this is the best performance reported to date for a recognition system not based on system combination. This past weekend, at Interspeech, an international conference on speech communication and technology held in San Francisco, IBM said it has achieved a WER of 6.6 percent.


Are Microsoft And VocalZoom The Peanut Butter And Chocolate Of Voice Recognition?

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Moore's law has driven silicon chip circuitry to the point where we are surrounded by devices equipped with microprocessors. The devices are frequently wonderful; communicating with them – not so much. Pressing buttons on smart devices or keyboards is often clumsy and never the method of choice when effective voice communication is possible. The keyword in the previous sentence is "effective". Technology has advanced to the point where we are in the early stages of being able to communicate with our devices using voice recognition.


#Tencent New Seattle Lab Shows It's Serious about Mastering #AI: Yu Dong, expert on speech recognition and deep learning, will oversee the operation. Baidu is already heavily invested in AI. Alibaba has begun publishing some AI research. Chinese startups are building on top of advances in AI • r/Sino

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Tencent's New Lab Shows It's Serious about Mastering AI Tencent has established an AI lab in Seattle, and the company is building a very serious research team back in China. One of China's biggest tech companies, Tencent, is establishing an AI research lab in Seattle, demonstrating a growing determination to master a technology that looks set to define the future of many industries. Tencent is already one of China's dominant tech companies. It operates the hugely successful mobile chat app WeChat--which boasts over 889 million active users in China--along with lots of other social tools, e-commerce services, games, and the like. Based in Shenzhen, a manufacturing hub in the southeastern part of the country, Tencent has the potential to become a key player in the development and commercialization of artificial intelligence.