The recognition rate of intelligent speech recognition technology is up to 98%

Intelligent Speech Recognition (ISR) mainly analyzes the sound characteristics of the monitored sample to obtain the sound profile of the sample. A special professional digital signal processor (DSP) chip has a strong data processing capability, which can minimize the use of CPU resources, thereby enabling a computer to simultaneously process and recognize multiple audio signals. This completely overcomes the weaknesses of the general speech recognition algorithm, which takes up long CPU time and is not fast enough to identify, and is very suitable for large-scale commercial applications. Intelligent voice recognition technology uses a special algorithm that can automatically adjust the input audio signal for pre-processing, which greatly improves the accuracy of voice recognition. After actual testing, the recognition accuracy rate is as high as 98%, reaching the domestic advanced level. . This also makes this technology really into a practical stage.

At present, there are two major categories of voice recognition technology: one is the similarity of voice recognition; the other is the meaning recognition of voice. The second category is through speech recognition, which translates speech into text, and is mainly used in areas such as rapid input of information, artificial intelligence, and human-machine dialogue. The similarity recognition of the first kind of sound is to compare the similarities of two sounds. From a large amount of sound information, to find a part similar to the sound of a certain sample, which is mainly used for the screening of a specific sound and can be widely used. In information retrieval, national security and other fields.

According to the needs of customers, voice similarity recognition technology is mainly used in speech recognition systems to identify broadcast television programs. In order to recognize the similarity of sounds, the audio signal must first be digitized, that is, quantized, including the quantification of the sample and the quantification of the recognized sound. Secondly, the two quantized sound files are matched and compared and the complex calculations are performed. Find the matching result.

The voice assistant function of the mobile phone has been popularized from the anomaly of the Apple Siri until now. It can be realized by only one mobile phone application. TV's voice operation is guided by the recent rapid development of smart TVs, and many high-performance smart TVs are now common.

Voice control can be implemented with multi-screen interactive voice input, which can control TV search, application opening, channel changing and other actions. With superb voice recognition technology , you can easily complete TV control, consulting information, and search functions simply by giving a password.

Voice control requires television to have powerful processing and computing capabilities. First, it needs to recognize the voice, translate the spoken language into words, and then use the voice knowledge base to perform matching recognition. Then the system also needs to automatically perform the corresponding tasks for volume adjustment, channel change, and switching modes. This directly imposes requirements on the configuration of the TV hardware. The generally powerful and responsive voice system must have a strong processing core.