Self-adaption endpoint detection method using short-time time-frequency value
An endpoint detection and self-adaptation technology, applied in speech analysis, instruments, etc.
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[0071] The adaptive endpoint detection method using short-time time-frequency values provided by the present invention is applied to a short-speech text-related speaker recognition system. The input of the system is a PCM audio compression format, a frequency of 8K, and a sampling number of 16 Audio files with bit, mono, wav file format. The purpose of the present invention is to detect the voice signal and accurately extract the starting and ending points of the effective voice segment, thereby improving the recognition performance of the system and reducing the recognition time.
[0072] The voice endpoint detection process provided by the present invention is as follows figure 1 Shown. The specific steps are as follows:
[0073] (1) After the voice signal is input, the conventional method is used to analyze the audio file and extract the digital sample value. During this period, the analog continuous voice signal is converted into a discrete digital signal through sampling a...
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