Sparse coding method for civil aviation control voice
A sparse coding and speech technology, which is applied in the field of civil aviation control speech sparse coding, can solve the problems of harsh speaking environment, poor quality of synthesized speech, and increased coding rate, so as to achieve flight safety and efficiency improvement, bandwidth saving, and speech quality Good results
Active Publication Date: 2015-06-17
沈阳空管技术开发有限公司
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But its main disadvantage is that the quality of synthesized voice is poor, the naturalness is low, and the requirements for the speaking environment are harsh, and it needs to be in a quiet place to have a high intelligibility
Due to the congenital deficiencies of the above two coding methods, people later proposed a hybrid coding method, which is the same as parametric coding, but also uses synthesis and analysis technology, and at the same time uses the waveform information of the speech to enhance the naturalness of the reconstructed speech. The quality of the synthesized voice has been significantly improved, at the cost of an increase in the encoding rate, which is generally between 2.4kb / s and 16kb / s
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[0040] Suppose a speech signal to be processed x ( n ),Will x ( n ) to carry out non-overlapping framing processing, the frame length is M=512, and N frames of short-term stable speech sequences are obtained , forming N M-dimensional matrix:
[0041] (2)
[0042] right For processing, where P is the minimum value of the audible voice amplitude of the human ear, about -10 decibels.
[0043] The determination of each parameter in the matrix:
[0044] in
[0045]
[0046]
[0047]
[0048]
[0049]
[0050]
[0051]
[0052] To center X, i.e. remove the mean of X from it, let it be , the processed data is , whose sparse components are:
[0053] (7)
[0054] Remove the zero elements in S, and take a few non-zero components to combine to get a new coefficient:
[0055] (8)
[0056] That is, the matrix obtained after the compression of each sparse component of S, the through neurons The compressed matrix can be obtained by inverse tr...
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The invention discloses a sparse coding method for civil aviation control voice, which belongs to the technical field of voice transmission, and in particular relates to the sparse coding method for civil aviation control voice. The invention provides the sparse coding method for civil aviation control voice, which is low in coding velocity, good in voice quality, high in security, and bandwidth-saving. The sparse coding method for the civil aviation control voice comprises the following steps of: (1), carrying out non-overlapping framing treatment onto a section of to-be-treated voice signal x(n), wherein the frame length M is equal to 512, and obtaining an N-frame short-time stable voice sequence to constitute an NM-dimensional matrix shown in the specification; (2), centering X to remove a mean value of X, letting X being E{X}, wherein the treated data are {X0} and the sparse component is shown in the specification; removing zero elements in the S, and combining a few non-zero components to obtain a novel coefficient shown in the specification; and (3), carrying out inverse transformation onto S<*> by a sparse conversion matrix W to obtain a compressed matrix shown in the specification; and (4), by virtue of X<*> and E{X}, obtaining the compressed voice signal shown in the specification.
Description
technical field [0001] The invention belongs to the technical field of speech transmission, and in particular relates to a method for sparse coding of civil aviation control speech. Background technique [0002] Civil aviation air traffic service is a general term for controllers to use ground-air communication to transmit voice, weather and other information to conduct command, control and guidance of civil aviation aircraft within the jurisdiction. Among them, voice communication is the most important link in the entire civil aviation safety production process. The safety of aircraft flight mainly depends on voice communication command and guarantee. Since 2006, the total amount of civil aviation transportation in my country has ranked second in the world, and has continued to grow at an average annual rate of 15%. The flight density has continued to increase, resulting in a sharp increase in the capacity of air traffic control voice communication. Looking for a way to oc...
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IPC IPC(8): G10L19/005
Inventor 邱燕霖吴戈潘庆革杨术轩杨术森林琳刘哲张磊朱恩营屈长鸣
Owner 沈阳空管技术开发有限公司