Method and device for classifying unvoiced sound and voiced sound
A classification method and voiceless voice technology, applied in the field of communication, can solve the problems of high computational complexity and low coding efficiency, and achieve the effect of improving coding efficiency and reducing computational complexity.
Active Publication Date: 2014-02-19
HUAWEI TECH CO LTD
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[0006] In the process of realizing the above classification result B, in order to determine the encoding mode, it is necessary to run all possible encoding modes once, and then select one based on the signal to noise ratio (signal to noise, SNR) information, and the computational complexity is quite high , so the encoding efficiency is low
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[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0047] A method for classifying unvoiced and voiced sounds, such as figure 1 shown, including:
[0048] 101: receiving audio frame data;
[0049] 102: Perform tone component detection on the received data to obtain the tone component;
[0050] Further, after the tonal component is obtained in step 102, the method further includes: deleting isolated points in the tonal component. This can improve the accuracy of the data in the execution of subsequent steps.
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The embodiment of the invention discloses a method and a device for classifying unvoiced sound and voiced sound. The method comprises the following steps of: receiving data of frames of audio; carrying out tonal component detection on the received data to obtain a tonal component; acquiring at least one of full-frequency-band sound pressure level, high-frequency sound pressure level, tonal component distribution periodicity and tonal component distribution continuity by carrying out statistics on the received tonal component; and determining whether the current frame belongs to the unvoiced sound or the voiced sound according to the at least one of the acquired full-frequency-band sound pressure level, high-frequency sound pressure level, tonal component distribution periodicity and tonal component distribution continuity. According to the invention, whether the current frame belongs to the unvoiced sound or the voiced sound is determined according to the at least one of the acquired full-frequency-band sound pressure level, high-frequency sound pressure level, tonal component distribution periodicity and tonal component distribution continuity, various possible encoding modes do not need to be tested, and the computational complexity is reduced, so that the encoding efficiency is increased.
Description
technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for classifying unvoiced and voiced sounds. Background technique [0002] At medium and low encoding rates (10kbits / s-32kbits / s), speech encoders and audio encoders are not fully suitable for encoding mixed contents of speech and music. The speech encoder only considers the characteristics of the speech signal, and the encoding effect for music-like content is not good; the audio encoder is designed based on the psychoacoustic model, and the speech-like content (speech-like content) is poorly encoded. In response to the above problems, the Moving Picture Experts Group (MPEG) audio group proposed a new unified speech and audio coding (USAC) coder suitable for mixed speech and music content. [0003] The signal classification module (Signal Classifier) of the USAC encoder needs to output two sets of classification results: [0004] Speech / music class...
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IPC IPC(8): G10L25/93
Inventor 许丽净
Owner HUAWEI TECH CO LTD