While smart homes bring convenience to people, people's control habits gradually change. The development of voice technology has also supplemented the control portal. After throwing away the traditional remote control and mobile phone APP, the password is sent to make the home environment comfortable and make life more convenient and intelligent. Will this be the next smart home industry? The universal application of the stage?
Far-field speech recognition, cloud semantic recognition, artificial intelligence applications and other technical nodes have made new breakthroughs, providing a new control entry option for smart homes. This article will present the application prospects of voice control technology in smart home products and integration projects from various perspectives such as technology trends, solutions, product applications, and project implementation.
The so-called intelligent voice industry mainly refers to the industry that provides various services to users through voice synthesis technology and voice recognition technology. Generally speaking, the user only needs to speak the service terminal to issue a command, and then the corresponding service can be obtained. This industry has emerged since the 1960s, but it is not well known to the average consumer, and consumers are less aware of it. In recent years, with Apple, Google, Microsoft and other companies have launched smart voice services such as Siri, this service and related industries have begun to be concerned by the general consumer and investment community.
Voice control technology
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 technique that allows a machine to transform a speech signal into a corresponding text or command through an identification and understanding process.
Speech recognition is an interdisciplinary subject. The combination of speech recognition technology and speech synthesis technology enables people to get rid of the keyboard and operate through voice commands. The application of speech technology has become a competitive emerging high-tech industry.
Current problems with voice control technology
At present, the intelligent hardware products for voice control are deeply criticized in many scenarios because of the unsatisfactory experience of voice interaction. The reasons are mainly limited by spatial distance, background noise, other vocal interference, echo, reverberation, etc. Complex factors, resulting in a clear pain point such as near recognition distance and low recognition rate.
In addition, there are quite a lot of Chinese language, dialects and accents, and the multi-semantic nature of Chinese, so people in different regions use voice control recognition rates vary greatly. At the same time, in the semantic recognition, there is also a problem that the contextual association brings about difficulty in learning, difficulty in positioning, and difficulty in establishing a model.
Several control techniques for speech recognition
The "speech recognition" technology is equivalent to installing an "ear" on a computer system to make it "listenable". The technology undergoes complex steps such as speech signal processing, speech feature processing, model training, and decoding engine, so that the machine can finally identify the content, speaker, language and other information in the speech. The implementation of the voice control function is highly correlated with the user's usage habits. The current implementation of voice control functions can be divided into two major categories: near-field speech recognition and far-field speech recognition.
Near field/far field speech recognition technology
Near-field speech recognition requires the user to click to start, and the distance between the user and the terminal device is relatively close, such as a mobile phone or other terminal device, and the control function can be directly realized by means of these terminal devices.
Far-field speech recognition, which uses voice data picked up by a long distance from a microphone array as input data, and converts a voice signal into a text by a speech recognition algorithm. Although the principle of the near-field speech recognition technology is the same, since the spatial distance between the sound source and the microphone increases, signal intensity attenuation and various noise interferences occur during the sound wave propagation process, so special speech data is required. Pick and pre-processing techniques. Different pick-up devices and pre-processing techniques often change the characteristics of the acoustic signal used for speech recognition. Therefore, for different far-field speech pickup technologies, the speech recognition engine needs to be customized and optimized.
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