As an important channel for people to perceive the external environment, hearing can play a role of visual irreplaceability in situations such as line of sight obstacles and adverse lighting conditions, and is an important complement to vision. Compared to image data, audio signals can often be acquired using relatively simple devices and take up less storage space and processing time. With the continuous improvement of the computing power of mobile platforms, more and more audio-based applications have appeared, and the audio processing algorithms involved have always been the focus of related research fields.
Among them, extracting, analyzing and effectively utilizing the semantic information carried by audio data is of great significance for content-based multimedia retrieval, abstract and development context adaptive application.
Audio scene analysis is mainly for the analysis, decision-making, and early warning of abnormal behaviors in the ting environment. The core technology is based on the characteristics of various types of abnormal sounds in the time domain and frequency domain, combined with the classification method of pattern recognition to alarm the abnormal events.
Speech Recognition
Communicate with the machine and let the machine understand what you are saying. This is what people have long dreamed of. Speech recognition technology is a high-tech technique that allows a machine to transform a speech signal into a corresponding text or command through an identification and understanding process.
After decades of development of speech recognition technology, artificial intelligence speech based on deep learning will be widely used.
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