With the flourishing development of cloud computing and mobile Internet technologies, voice technology has also rapidly transformed from an earlier industry application into a popular application. Voice applications based on various intelligent terminal devices have also sprung up. The richness of the voice terminal application and the complexity of the working environment determine the necessity of processing the voice signal at the terminal.
As a means of human-computer interaction, speech endpoint detection is of great significance in liberating human hands. At the same time, there are various background noises in the work environment. These noises can seriously degrade the quality of speech and thus affect the effectiveness of speech applications, such as reducing the recognition rate. With uncompressed voice data, network traffic in network interactive applications is large, which reduces the success rate of voice applications. Therefore, audio endpoint detection, noise reduction, and audio compression are always the focus of terminal voice processing and are still active research topics.
In order to get to know the basic principles of endpoint detection and noise reduction with you, take a glimpse of the mysteries of audio compression. This time , guests of HKUST's senior research and development engineer Li Hongliang from the University of Science and Technology Beijing will give us a keynote speech: Detailed Explanation Hotspots in Voice Processing Detection Technologies - Endpoint Detection, Noise Reduction, and Compression
Guest Profile
Li Hongliang
He graduated from the University of Science and Technology of China. HKUST's senior R&D engineers have long been engaged in the related development of voice engines and voice cloud computing, one of the founders of HKUST's voice cloud, and led the research and development of voice codec libraries on XFLY voice cloud platform. More than two billion. Leading the construction of national standard systems for voice, leading and participating in the formulation of multiple voice national standards.
Event Details:
Time: 3 pm Monday, August 22, 2016
Participation methods: Scan the poster QR code, pay attention to the public registration
As a domestic company specializing in intelligent voice and language technology, artificial intelligence technology research, software and chip product development, voice information services, etc., HKUST has an important leading position in the intelligent voice and artificial intelligence industry. (If you are interested in the products and technologies of HKUST, please scan the QR Code below to view the QR Code)
