# Deep Learning for Intelligent Human-Computer Interaction
## 8 Challenges of Deep Learning in Intelligent HCI  
HCI is the interactive relationship between the system and users, which uses dialog language between people and computers that completes the process of information exchange between man and computer in a certain interactive way. The human-computer interface refers to the part visible to the user, on which the user communicates with the system and performs operations. In HCI, the natural interaction behavior of human beings and the state change of physical space are multichannel, imprecise, and very unstable modes. As a cognitive subject, it is a great challenge for computers to understand human natural interactions, intentions, and questions and to provide accurate feedback. At present, there is still much room to improve the accuracy and real-time performance of natural perception technology. Human physiology and psychological changes can affect the state of interaction at any time. In the era of the Internet of Everything, to compensate for the limitations of science and technology, experience design has never been as important as it is now. The core of HCI design is gradually developing toward the direction of intelligence, humanization, and scenarization. With so many smart devices, so many screens, and so many notifications, there is so much information overload that users cannot even digest it. The more information users acquire, the more anxious they become. Target-driven business competition results in every device and software competing for users' limited time. Speculation about the next revolutionary method of HCI is the focus of the industry. It was described as the closest thing to natural human interaction, which includes voice interaction, gesture recognition in multiple scenes, brain-computer interaction by connecting the human brain and computer, holographic operation in different scenes, and full interface without a touch screen. These interaction modes have relatively high requirements on technology and product hardware, and it may be difficult to give full play to their advantages under the current technical constraints. However, as future technologies and products develop to a certain stage, new mainstream HCI will emerge in them. Voice interaction is viewed as one of the primary traffic entry points for users in many future scenarios. Therefore, seeking reliable and effective far-field speech technology breakthroughs has become an urgent demand in the current industry and academia. Multichannel microphone array technology was proven to significantly improve the quality of speech recognition. When the number of signal acquisition channels is large enough, additional multichannel synchronization technology needs to be developed. In addition, at present, there are few integrated multiple microphones in consumer electronics and few relevant research results, which also increases the difficulty in the progression of this hardware solution. In speech recognition systems, the design of microphone array signal processing algorithms should be emphasized. Far-field speech recognition is mainly faced with echo interference, indoor reverberation, multisource interference, and non-stationary noise interference. To solve the echo interference problem, echo cancellation technology should be adopted to remove the sound played by the device from the signal received by the microphone. The technology is already well established on handheld mobile devices, including open-source software such as speex and webrtc. However, to achieve a greater echo suppression effect, the two schemes use