Voice endpoint determination method and device, storage medium and electronic device
A technology to determine the method and voice, applied in voice analysis, voice recognition, instruments, etc., can solve the problems of low accuracy rate, achieve the effect of improving recognition accuracy and solving the effect of low accuracy rate
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Embodiment 1
[0025] The method embodiment provided in Embodiment 1 of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking running on a mobile terminal as an example, figure 1 It is a hardware structural block diagram of a mobile terminal according to a method for determining a voice endpoint in an embodiment of the present invention. Such as figure 1 As shown, the mobile terminal 10 may include one or more ( figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the above-mentioned mobile terminal also A transmission device 106 for communication functions as well as input and output devices 108 may be included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not li...
Embodiment 2
[0079] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.
[0080] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:
[0081] S1, preprocessing the acquired audio signal to obtain a plurality of subbands, wherein the audio signal includes N audio signal frames, N is an integer greater than 1, and the subbands are obtained by dividing the audio signal frame based on frequency bands;
[0082] S2, according to the ratio of the signal-to-noise ratio and the spectral entropy of the subband, obtain the ratio of the signal-to-noise ratio and the spectral entropy of the audio signal frame;
[0083] S3, according to the ratio of the signal-to-noise ratio of the audio signal frame to the spectral entropy, use a double-t...
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