Voice recognition method and device
A speech recognition and speech fragment technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problem of speech fragment rejection, and achieve the effect of reducing the frequency of misoperation, ensuring the running speed, and improving the experience.
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Embodiment 1
[0015] see figure 1 , which is a method flowchart of a speech recognition method of the present invention, the method includes the following steps:
[0016] S101: Receive an input voice segment;
[0017] It should be noted that the technical solution of the present invention is mainly applied to the mobile terminal, that is to say, the mobile terminal receives an externally input sound clip, which may be spoken by the user or played by the machine.
[0018] S102: Calculate multiple acoustic scores of each frame of the speech segment according to the subspace distribution clustering SDC;
[0019] This SDC algorithm belongs to the commonly used means of calculating acoustic scores in the technical field. In the mainstream speech recognition system, the state-tied triphone is usually used as the pronunciation unit, and its timing and statistical characteristics are analyzed by HMM. Modeling, and the output probability of each state of the HMM is represented by a Gaussian mixtur...
Embodiment 2
[0056] Corresponding to the above speech recognition method, an embodiment of the present invention also provides a speech recognition device. see image 3 , which is a device structure diagram of a speech recognition device of the present invention, the device includes a speech receiving unit 301, a clustering calculation unit 302, a comparison and accumulation unit 303, a background acoustic total score calculation unit 304, a comparison judgment unit 305, a recognition unit 306 and rejection unit 307:
[0057] The voice receiving unit 301 is configured to receive an input voice segment;
[0058] The cluster calculation unit 302 is configured to calculate a plurality of acoustic scores of each frame of the speech segment according to the subspace distribution cluster SDC;
[0059] Preferably, the cluster calculation unit 302 is also used for:
[0060] The acoustic score is calculated using an approximate algorithm, and the specific calculation formula is:
[0061] ...
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