CN102522089A - Information embedding and extracting method for G.723.1 voice coder - Google Patents
Information embedding and extracting method for G.723.1 voice coder Download PDFInfo
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Abstract
The invention relates to an information embedding method for a G.723.1 voice coder, which comprises the following steps: obtaining a voice signal, carrying out G.723.1 coding on the voice signal so as to generate a voice frame, obtaining the s hidden parameters and the hidden bits/blocks thereof of the voice frame and the embedding capacity, the embedding operation and the multi-scale form of the hidden parameters, setting a counter k equal to 1, obtaining a secret information bit according to the embedding capacity of the k hidden parameter, judging whether the embedding operation of the k hidden parameter is in least significant bit replacement or not, carrying out multi-scale conversion on the secret information bit and the hidden parameter according to the multi-scale form if the embedding operation is not in the least significant bit replacement and carrying out the least significant bit replacement on the multi-scale of the hidden parameter according to secret information after multi-scale conversion. According to the information embedding method for the G.723.1 voice coder, the adjacent states of bits with strong noise resistance in frame parameters are fully utilized, so that the modification of embedding is centralized at the bits with smaller influence. The information embedding method for the G.723.1 voice coder is beneficial to distortion decreasing and is suitable for transmitting secret information under a voice communication system.
Description
Technical field
The invention belongs to field of communication security, particularly a kind of based on the information concealing method of speech coder G.723.1, be applicable to that the low rate voice with parameter coding are the covert communications of carrier.
Background technology
Along with infotech extensively popularizing of the communication technology particularly, information maintain secrecy or safety transmits and also more and more receives popular attention, the Secure Application that combines with the various communication technologys also seems extremely more urgent.Encryption was all carried out in the transmission of important information, it is disorderly and unsystematic that the information after the encryption becomes in the past, yet but can't cover the fact of its " existence ", attracts saboteur's attention on the contrary more.Information Hiding Techniques provides a latent more close information to preserve or load mode comparatively speaking; The secret information that it will transmit is hidden under the common carrier data; From having hidden " existence of secret information " this fact in essence, attack to secret information is become have no way of doing it.Though what Information hiding can not be as encryption technology is alternative fully, it provides secret information to preserve and another the important selection that transmits, and in application such as latent close communication, digital watermarking, has a wide range of applications.
The application of current Information hiding still concentrates in the static carriers such as image, audio frequency, and for the Information Hiding Techniques of the voice flow carrier that is widely used in the communications field also seldom.The low rate speech coder of commonplace use in the voice communication have ITU-T G.723.1, G.729, iLBC etc.; The speech encoding rate of their common feature is low, redundant few; Add the characteristic of the instantaneity of transmission of flow media data, thereby brought very big difficulty to Information hiding.Information Hiding Techniques to the low rate voice mainly contains methods such as quantization index modulation technology, quiet concealing technology and least significant bit (LSB) (Least Significant Bit is called for short LSB) replacement at present.Because characteristics such as LSB replacement method algorithm are simple, applicability is strong and capacity is big, be practicality and effective and efficient manner under the low rate voice bearer at present.
In image-carrier, LSB replacement method has been owing to revised its statistical property, thereby produced a lot of mutation.Like LSB coupling scheduling algorithm, be characterized in the pixel in the image is replaced the simple substitution algorithm with+1 with-1 operation, can increase it like this can not apperceive characteristic.This method can be used in the low rate voice bearer too.
In the low rate speech coder, the be encoded form of framing of voice, typically G.723.1 two-forty speech coder frame length is 192 bits.The test of voice noise immunity is carried out in each position in the frame, and sets certain threshold value, can obtain some least significant bits.Thereby with the typical difference of image-carrier be that it is low that the distortion that each least significant bit (LSB) brought of speech frame has height to have, and incomplete same, can only be according to selecting for use the least significant bit (LSB) of some to embed to the qualification of distortion.And general LSB replacement method adopts is the form of single binary digit conversion, and binary digit is independently revised.Its shortcoming is that the big and voice concealed space of distortion does not obtain fully effectively utilizing.
Summary of the invention
The present invention proposes a kind of information concealing method of the multi-system under speech coder G.723.1, under the prerequisite of introducing small distortion, improves the capacity of Information hiding, has made full use of the embedding position of speech frame simultaneously, helps increasing the security of Information hiding.
The present invention realizes through following technical scheme:
A kind of G.723.1 information embedding method of speech coder that is used for may further comprise the steps: obtain voice signal, G.723.1 voice signal is encoded; To generate speech frame, obtain the individual hiding parameter of s and the hidden bit/piece thereof of speech frame, hide embedding capacity, embedding operation and the multi-system form of parameter; Set counter k=1, obtain the secret information bit, judge whether the embedding operation of k hiding parameter is the least significant bit (LSB) replacement according to the embedding capacity of k hiding parameter; If embedded operation is not the least significant bit (LSB) replacement; Then according to the multi-system form secret information bit and hiding parameter are carried out the multi-system conversion, the secret information after transforming according to multi-system carries out the least significant bit (LSB) replacement to the multi-system of hiding parameter, and the hiding parameter after the replacement is converted into scale-of-two; With the former hiding parameter in the hiding parameter replacement speech frame after transforming; Whether judge counter k greater than s, if counter k greater than s, then obtains comprising the close speech frame that carries of secret information bit.
Information embedding method of the present invention also comprises step: if embedding operation is the least significant bit (LSB) replacement, then replace the hidden bit of k parameter with the secret information bit; And forward step to the former hiding parameter in the hiding parameter replacement speech frame after transforming, if counter k is not more than s, k=k+1 is set then, and returns the step of obtaining the secret information bit according to the embedding capacity of k hiding parameter.
Obtain speech frame s hiding parameter and hidden bit/piece thereof; The step of hiding embedding capacity, embedding operation and the multi-system form of parameter comprises following substep: the scale-of-two upset is carried out in the position to the permission of speech frame is revised, and utilizes the subjective speech quality assessment algorithm that the speech frame after overturning is tested, to obtain one group of subjective speech quality assessment value; Choose in the subjective voice assessed value corresponding position greater than threshold value; Preserve the index set P of corresponding position in speech frame, and the frame parameter set Q of index set P under in speech frame, and the number of parameters of setting among the frame parameter set Q is s; Set counter i=1, judge the bit number N of i hiding parameter
iWhether equal 1, if bit number N
iBe not equal to 1; Then set counter j=1, judge whether the corresponding index of j bit of i hiding parameter belongs to index set P, if j the corresponding index of bit belongs to index set P; Whether the corresponding index of j+1 bit of then judging i hiding parameter belongs to index set P; If j+1 the corresponding index of bit belongs to index set P, then under the decimal system, i hiding parameter added 2 respectively
J-1With subtract 2
J-1Computing; With the raw parameter in the i after the computing the hiding parameter replacement speech frame; And the speech frame after replacing is tested with the subjective speech quality assessment algorithm; To obtain one group of subjective speech quality assessment value of j bit in i the hiding parameter, j=j+1 is set, judge that whether j is greater than N
i, if j is greater than N
i, obtain then that the adjacent and corresponding index in position belongs to m the bit of index set P in i the hiding parameter, and the embedding operation that will hide parameter is labeled as the 2m+1 system and embeds, embed the embedding capacity of confirming the individual hiding parameter of i according to the 2m+1 system and do
Whether bit judges i less than s, if i is not less than s, then preserves s hiding parameter and hidden bit/piece thereof, embedding capacity, embedding operation and the multi-system form of s hiding parameter.
Obtain speech frame s hiding parameter and hidden bit/piece thereof, the step of hiding embedding capacity, embedding operation and the multi-system form of parameter also comprises following substep: if bit number N
iEqual 1, then the embedding operation with i hiding parameter is labeled as the least significant bit (LSB) replacement, and its embedding capacity is 1 bit; Get into then and judge that i is whether less than the step of s; If j the corresponding index of bit do not belong to index set P, then get into the step that j=j+1 is set, if j+1 the corresponding index of bit belongs to index set P; Then under the decimal system, i parameter carried out+2 respectively
J-1,-2
J-1,+2
j,-2
jComputing; Get into then with the raw parameter in the i after the computing the hiding parameter replacement speech frame; And with the subjective speech quality assessment algorithm speech frame after replacing is tested, to obtain the step of one group of subjective speech quality assessment value of j bit in i the hiding parameter, if j is not more than N
i, then return the step whether corresponding index of j bit of judging i hiding parameter belongs to index set P, if i less than s, then is provided with i=i+1, and return the bit number N that judges i hiding parameter
iWhether equal 1 step.
A kind of G.723.1 information extracting method of speech coder that is used for may further comprise the steps: obtain and carry close speech frame, obtain the individual hiding parameter of the s that carries close speech frame and hidden bit/piece, embedding operation and multi-system form; Extract and carry s the hiding parameter that contains secret information in the close speech frame, set counter l=1, judge whether the embedding operation of the 1st parameter is the least significant bit (LSB) replacement; If embedding operation is not the least significant bit (LSB) replacement; Then the 1st parameter is converted into the multi-system form of parameter, extracts the least significant bit (LSB) under the multi-system form of the 1st parameter, the least significant bit (LSB) that extracts is converted into binary mode; It is the secret information bit; Whether judge counter l greater than s, if all secret information bits that counter l greater than s, then obtains in the frame to be hidden.
Breath method for distilling of the present invention also comprises step: if embedding operation is the least significant bit (LSB) replacement; The least significant bit (LSB) of extracting parameter then; Be the secret information bit, and forward to and judge that counter l is whether greater than the step of s, if counter l is not more than s; L=l+1 then is set, and returns whether the embedding operation of judging the 1st parameter is the step of least significant bit (LSB) replacement.
Different with the embedding grammar of least significant bit (LSB) under the traditional G .723.1 scrambler; Information embedding method of the present invention fully takes into account all adjacent states of lowest order; And the coding method of employing multi-system, make these state sets can effectively apply to the embedding leaching process.Information concealing method of the present invention utilizes the inconsistent characteristic of each bit distortion of speech frame, makes full use of the adjacent states of the least significant bit (LSB) with higher subjective speech quality assessment value, and the bit of low distortion is fully used.Generally speaking, the present invention has the following advantages:
1. under the situation that increases identical hiding capacity, introduce littler distortion;
2. be similar to cryptographic Kerckhoffs criterion; Information hiding should not depend on maintaining secrecy of algorithm; And should take the form of key, the introducing of multi-system algorithm makes available hiding figure place obtain increase; Thereby enlarged the key space based on the Information hiding of key, security performance has obtained enhancing;
3. multi-system embedding grammar of the present invention has utilized the characteristic of the least significant bit (LSB) of low rate speech frame, and is independent mutually with concrete encryption algorithm, thereby is applicable to other similar speech coding algorithm.
Description of drawings
Fig. 1 is used for the G.723.1 process flow diagram of the information embedding method of speech coder for the present invention.
Fig. 2 is the refinement process flow diagram of step (3) in the information embedding method of the present invention.
Fig. 3 is used for the G.723.1 process flow diagram of the information extracting method of speech coder for the present invention.
Fig. 4 is the refinement process flow diagram of step (2) in the information extracting method of the present invention.
Embodiment
Below technical terms more of the present invention are defined and explain:
Speech frame: the unit of transfer after voice are encoded through scrambler.
Frame parameter: the parameter that speech frame comprised specifically comprises linear predictive coding (Linear Predictive Coding is called for short LPC) index, self-adapting code book hysteresis, code book gain, pulse position, impulse code and mesh index.Wherein except the LPC index, other parameter all comprises four parts, corresponds respectively to four sub-frame that frame comprises.
Parameter bit: the binary bits of component frame parameter.
Hide parameter: be used for the parameter of the speech frame of Information hiding, specifically comprise the code book gain of LPC index, four sub-frame, the pulse position of four sub-frame, the impulse code of four sub-frame and the mesh index of four sub-frame.
Hidden bit: the bit that parameter comprised that is used for the speech frame of Information hiding.
Hide piece: hide position continuous in the parameter and form a hiding piece.
Embedding capacity: the bit number that allows embedding.
Embedding operation: the arithmetic plus-minus or the logic xor operation that are carried out when embedding secret.
The multi-system form: the expansion of digital standard, scale-of-two, the decimal system etc. all belongs to a kind of of multi-system.
Secret information bit: the binary digit of forming secret information.
Least significant bit (LSB) replacement: the Information hiding embedding grammar of replacing the least significant bit (LSB) of carrier with the secret information bit.
Carry close speech frame: embedded the speech frame behind the secret information.
Subjective speech quality assessment algorithm: Perceptual Evaluation of Speech Quality; Be called for short PESQ; Be a kind of testing algorithm, obtain a subjective speech quality assessment value after the test, estimate the quality of voice quality according to the size of value voice; General value is big more, and voice quality is good more.
Subjective speech quality assessment value: carry out the value that obtains behind the subjective speech quality assessment algorithm.
As shown in Figure 1, G.723.1 the present invention is used for that the information embedding method of speech coder may further comprise the steps:
(1) obtains voice signal;
(2) G.723.1 voice signal is encoded, generate speech frame;
(3) obtain s the hiding parameter and the hidden bit/piece thereof of speech frame, hide embedding capacity, embedding operation and the multi-system form of parameter, specifically comprise following substep:
(4) set counter k=1;
(5) the embedding capacity according to k hiding parameter obtains the secret information bit;
Whether the embedding operation of (6) judging k hiding parameter is the least significant bit (LSB) replacement, if the least significant bit (LSB) replacement then changes step (7) over to, otherwise changes step (8) over to;
(7) replace the hidden bit of k hiding parameter with the secret information bit, forward step (11) to;
(8) according to the multi-system form secret information bit and hiding parameter are carried out the multi-system conversion;
(9) according to the secret information after the multi-system conversion multi-system of hiding parameter is carried out the least significant bit (LSB) replacement;
(10) the hiding parameter after will replacing is converted into scale-of-two;
(11) with the former hiding parameter in the hiding parameter replacement speech frame after transforming;
(12) whether judge counter k greater than s, if counter k greater than s, then changes step (14) over to, otherwise changes step (13) over to;
(13) k=k+1 is set, and returns step (5);
(14) obtain comprising the close speech frame that carries of secret information bit.
As shown in Figure 2, the step in the information embedding method of the present invention (3) specifically comprises following substep:
The scale-of-two upset is carried out in the position of (3-1) permission of speech frame being revised;
(3-2) utilize the subjective speech quality assessment algorithm that the speech frame after overturning is tested, to obtain one group of subjective speech quality assessment value;
(3-3) choose in the subjective voice assessed value corresponding position greater than threshold value; Preserve the index set P of corresponding position in speech frame; And the frame parameter set Q of index set P under in speech frame, and the number of parameters of setting among the frame parameter set Q is s, threshold value can be set according to different embedding demands; In this embodiment, preset threshold is 3.4;
(3-4) set counter i=1;
(3-5) the bit number N of i hiding parameter of judgement
iWhether equal 1, if bit number N
iEqual 1, then change step (3-6) over to, otherwise change step (3-7) over to;
(3-6) embedding operation with i hiding parameter is labeled as the least significant bit (LSB) replacement, and its embedding capacity is 1 bit, changes step (3-17) over to
(3-7) set counter j=1;
Whether the corresponding index of j bit of (3-8) judging i hiding parameter belongs to index set P, gathers P if the index of j bit correspondence belongs to index, then changes step (3-9) over to, otherwise changes step (3-13) over to;
Whether the corresponding index of j+1 bit of (3-9) judging i hiding parameter belongs to index set P, gathers P if the index of j+1 bit correspondence belongs to index, then changes step (3-10) over to, otherwise changes step (3-11) over to;
(3-10) under the decimal system, i hiding parameter added 2 respectively
J-1With subtract 2
J-1Computing changes step (3-12) over to;
(3-11) under the decimal system, i parameter carried out+2 respectively
J-1,-2
J-1,+2
j,-2
jComputing
(3-12) with the raw parameter in the i after the computing the hiding parameter replacement speech frame, and with the subjective speech quality assessment algorithm speech frame after replacing is tested, to obtain one group of subjective speech quality assessment value of j bit in i the hiding parameter;
(3-13) j=j+1 is set;
(3-14) judge that whether j is greater than N
i, if j is greater than N
i, then change step (3-15) over to, otherwise change step (3-8) over to;
(3-15) obtain that the adjacent and corresponding index in position belongs to m the bit of index set P in i the hiding parameter, and the embedding operation that will hide parameter is labeled as the embedding of 2m+1 system;
(3-16) 2m +1 hex embedded under the i-th hidden parameters determine the embedding capacity is
(symbol
indicates rounded down) bits;
(3-17) whether judge i, if i less than s, then changes step (3-18) over to, otherwise changes step (3-19) over to less than s;
(3-18) i=i+1 is set, changes step (3-5) over to;
(3-19) preserve s hiding parameter and hidden bit/piece thereof, embedding capacity, embedding operation and the multi-system form of s hiding parameter.
As shown in Figure 3, G.723.1 the present invention is used for that the information extracting method of speech coder may further comprise the steps:
(1) obtains a year close speech frame;
(2) obtain the individual hiding parameter of the s that carries close speech frame and hidden bit/piece, embedding operation and multi-system form;
(3) extract s the hiding parameter that contains secret information in year close speech frame;
(4) set counter l=1;
Whether the embedding operation of (5) judging the 1st parameter is the least significant bit (LSB) replacement, if embedding operation is the least significant bit (LSB) replacement, then changes step (6) over to, otherwise changes step (7) over to;
(6) least significant bit (LSB) of extracting parameter, promptly the secret information bit changes step (10) over to;
(7) the 1st parameter is converted into the multi-system form of parameter;
(8) least significant bit (LSB) under the multi-system form of the 1st parameter of extraction;
(9) least significant bit (LSB) that extracts is converted into binary mode, i.e. the secret information bit;
(10) whether judge counter l greater than s,, then change step (12) over to, otherwise change step (11) over to if greater than s;
(11) l=l+1 is set, changes step (5) over to;
(12) all secret information bits that obtain in the frame being hidden.
As shown in Figure 4, the step in the information extracting method of the present invention (2) specifically comprises following substep:
The scale-of-two upset is carried out in the position of (2-1) permission of carrying close speech frame being revised;
(2-2) utilize the subjective speech quality assessment algorithm that the speech frame after overturning is tested, to obtain one group of subjective speech quality assessment value;
(2-3) choose in the subjective voice assessed value corresponding position greater than threshold value; Preserve the index set P of corresponding position in speech frame; And the frame parameter set Q of index set P under in speech frame, and the number of parameters of setting among the frame parameter set Q is s, threshold value can be set according to different embedding demands; In this embodiment, preset threshold is 3.4;
(2-4) set counter i=1;
(2-5) the bit number N of i hiding parameter of judgement
iWhether equal 1, if bit number N
iEqual 1, then change step (2-6) over to, otherwise change step (2-7) over to;
(2-6) embedding operation with i hiding parameter is labeled as the least significant bit (LSB) replacement, and its embedding capacity is 1 bit, changes step (2-17) over to;
(2-7) set counter j=1;
Whether the corresponding index of j bit of (2-8) judging i hiding parameter belongs to index set P, gathers P if the index of j bit correspondence belongs to index, then changes step (2-9) over to, otherwise changes step (2-13) over to;
Whether the corresponding index of j+1 bit of (2-9) judging i hiding parameter belongs to index set P, gathers P if the index of j+1 bit correspondence belongs to index, then changes step (2-10) over to, otherwise changes step (2-11) over to;
(2-10) under the decimal system, i hiding parameter added 2 respectively
J-1With subtract 2
J-1Computing changes step (2-12) over to;
(2-11) under the decimal system, i parameter carried out+2 respectively
J-1,-2
J-1,+2
j,-2
jComputing;
(2-12) with the raw parameter in the i after the computing the hiding parameter replacement speech frame, and with the subjective speech quality assessment algorithm speech frame after replacing is tested, to obtain one group of subjective speech quality assessment value of j bit in i the hiding parameter;
(2-13) j=j+1 is set;
(2-14) judge that whether j is greater than N
i, if j is greater than N
i, then change step (2-15) over to, otherwise return step (2-8);
(2-15) obtain that the adjacent and corresponding index in position belongs to m the bit of index set P in i the hiding parameter, and the embedding operation that will hide parameter is labeled as the embedding of 2m+1 system;
(2-16) 2m +1 hex embedded under the i-th hidden parameters determine the embedding capacity is
(symbol
indicates rounded down) bits;
(2-17) whether judge i, if i less than s, then changes step (2-18) over to, otherwise changes step (2-19) over to less than s;
(2-18) i=i+1 is set, and returns step (2-5);
(2-19) preserve s hiding parameter and hidden bit/piece thereof, embedding capacity, embedding operation and the multi-system form of s hiding parameter.
Claims (8)
1. one kind is used for the G.723.1 information embedding method of speech coder, may further comprise the steps:
Obtain voice signal;
G.723.1, said voice signal is encoded, to generate speech frame;
Obtain the individual hiding parameter of s and the hidden bit/piece thereof of said speech frame, the embedding capacity of said hiding parameter, embedding operation and multi-system form;
Set counter k=1;
Embedding capacity according to k hiding parameter obtains the secret information bit;
Whether the embedding operation of judging said k hiding parameter is the least significant bit (LSB) replacement;
If said embedding operation is not the least significant bit (LSB) replacement, then said secret information bit and said hiding parameter are carried out the multi-system conversion according to said multi-system form;
According to the secret information after the multi-system conversion multi-system of said hiding parameter is carried out the least significant bit (LSB) replacement;
Hiding parameter after the replacement is converted into scale-of-two;
Hiding parameter with after transforming is replaced the former hiding parameter in the said speech frame;
Judge that whether said counter k is greater than s;
If said counter k greater than s, then obtains comprising the close speech frame that carries of said secret information bit.
2. information embedding method according to claim 1 is characterized in that:
If said embedding operation is the least significant bit (LSB) replacement, then replace the hidden bit of said k parameter with said secret information bit; And forward the step of replacing the former hiding parameter in the said speech frame with the hiding parameter after transforming to;
If said counter k is not more than s, k=k+1 then is set, and returns the step that said embedding capacity according to k hiding parameter obtains the secret information bit.
3. information embedding method according to claim 1 is characterized in that, said said speech frame s hiding parameter and the hidden bit/piece thereof of obtaining, and the step of the embedding capacity of said hiding parameter, embedding operation and multi-system form comprises following substep:
The scale-of-two upset is carried out in position to the permission of said speech frame is revised;
Speech frame after utilizing the subjective speech quality assessment algorithm to upset is tested, to obtain one group of subjective speech quality assessment value;
Choose in the said subjective voice assessed value corresponding position greater than threshold value; Preserve the index set P of said corresponding position in said speech frame; And the frame parameter set Q of said index set P under in said speech frame, and the number of parameters of setting among the said frame parameter set Q is s;
Set counter i=1;
Judge the bit number N of i hiding parameter
iWhether equal 1;
If said bit number N
iBe not equal to 1, then set counter j=1;
Whether the corresponding index of j bit of judging said i hiding parameter belongs to said index set P;
If the corresponding index of said j bit belongs to said index set P, judge then whether the corresponding index of j+1 bit of said i hiding parameter belongs to said index set P;
If the corresponding index of said j+1 bit belongs to said index set P, then under the decimal system, said i hiding parameter added 2 respectively
J-1With subtract 2
J-1Computing;
Replace the raw parameter in the said speech frame with the i after the computing hiding parameter, and the speech frame after replacing is tested, to obtain one group of subjective speech quality assessment value of j bit in said i the hiding parameter with the subjective speech quality assessment algorithm;
J=j+1 is set;
Judge that whether j is greater than N
i
If j is greater than N
i, then obtain m the bit that the adjacent and corresponding index in position in said i the hiding parameter belongs to said index set P, and the embedding operation of said hiding parameter be labeled as the embedding of 2m+1 system;
Embedding the embedding capacity of confirming said i hiding parameter according to said 2m+1 system is
bit;
Judge that whether i is less than s;
If i is not less than s, then preserve said s hiding parameter and hidden bit/piece thereof, embedding capacity, embedding operation and the multi-system form of said s hiding parameter.
4. information embedding method according to claim 3 is characterized in that, said said speech frame s hiding parameter and the hidden bit/piece thereof of obtaining, and the step of the embedding capacity of said hiding parameter, embedding operation and multi-system form also comprises following substep:
If said bit number N
iEqual 1, then the embedding operation with said i hiding parameter is labeled as the least significant bit (LSB) replacement, and its embedding capacity is 1 bit, gets into the said i of judgement then whether less than the step of s;
If the corresponding index of said j bit does not belong to said index set P, the step that then gets into the said j=j+1 of setting;
If the corresponding index of said j+1 bit belongs to said index set P, then under the decimal system, said i parameter carried out+2 respectively
J-1,-2
J-1,+2
j,-2
jComputing; Get into then and saidly replace the raw parameter in the said speech frame with the hiding parameter of the i after the computing; And with the subjective speech quality assessment algorithm speech frame after replacing is tested, to obtain the step of one group of subjective speech quality assessment value of j bit in said i the hiding parameter;
If j is not more than N
i, then return and saidly judge whether the corresponding index of j bit of said i hiding parameter belongs to the step that P gathered in said index;
If i less than s, then is provided with i=i+1, and return the bit number N of said judgement i hiding parameter
iWhether equal 1 step.
5. one kind is used for the G.723.1 information extracting method of speech coder, may further comprise the steps:
Obtain and carry close speech frame;
Obtain the individual hiding parameter of s and hidden bit/piece, embedding operation and the multi-system form of said year close speech frame;
Extract s the hiding parameter that contained secret information in said year in the close speech frame;
Set counter l=1;
Whether the embedding operation of judging the 1st parameter is the least significant bit (LSB) replacement;
If said embedding operation is not the least significant bit (LSB) replacement, then the 1st parameter is converted into the multi-system form of said parameter;
Extract the least significant bit (LSB) under the multi-system form of said the 1st parameter;
The said least significant bit (LSB) that extracts is converted into binary mode, i.e. the secret information bit;
Judge that whether said counter l is greater than s;
If said counter l is greater than s, all secret information bits that then obtain being hidden in the said frame.
6. information extracting method according to claim 5 is characterized in that, also comprises step:
If said embedding operation is least significant bit (LSB) replacement, then extract the least significant bit (LSB) of said parameter, i.e. secret information bit, and forward to and judge that said counter l is whether greater than the step of s;
If said counter l is not more than s, l=l+1 then is set, and returns and saidly judge whether the embedding operation of the 1st parameter is the step of least significant bit (LSB) replacement.
7. information extracting method according to claim 5 is characterized in that, the step of the said s that obtains a said year close speech frame hiding parameter and hidden bit/piece, embedding operation and multi-system form comprises following substep:
The scale-of-two upset is carried out in position to the permission of said speech frame is revised;
Speech frame after utilizing the subjective speech quality assessment algorithm to upset is tested, to obtain one group of subjective speech quality assessment value;
Choose in the said subjective voice assessed value corresponding position greater than threshold value; Preserve the index set P of said corresponding position in said speech frame; And the frame parameter set Q of said index set P under in said speech frame, and the number of parameters of setting among the said frame parameter set Q is s;
Set counter i=1;
Judge the bit number N of i hiding parameter
iWhether equal 1;
If said bit number N
iBe not equal to 1, then set counter j=1;
Whether the corresponding index of j bit of judging said i hiding parameter belongs to said index set P;
If the corresponding index of said j bit belongs to said index set P, judge then whether the corresponding index of j+1 bit of said i hiding parameter belongs to said index set P;
If the corresponding index of said j+1 bit belongs to said index set P, then under the decimal system, said i hiding parameter added 2 respectively
J-1With subtract 2
J-1Computing;
Replace the raw parameter in the said speech frame with the i after the computing hiding parameter, and the speech frame after replacing is tested, to obtain one group of subjective speech quality assessment value of j bit in said i the hiding parameter with the subjective speech quality assessment algorithm;
J=j+1 is set;
Judge that whether j is greater than N
i
If j is greater than N
i, then obtain m the bit that the adjacent and corresponding index in position in said i the hiding parameter belongs to said index set P, and the embedding operation of said hiding parameter be labeled as the embedding of 2m+1 system;
Embedding the embedding capacity of confirming said i hiding parameter according to said 2m+1 system is
bit;
Judge that whether i is less than s;
If i is not less than s, then preserve said s hiding parameter and hidden bit/piece thereof, embedding capacity, embedding operation and the multi-system form of said s hiding parameter.
8. information extracting method according to claim 5 is characterized in that, the step of the said s that obtains a said year close speech frame hiding parameter and hidden bit/piece, embedding operation and multi-system form also comprises following substep:
If said bit number N
iEqual 1, then the embedding operation with said i hiding parameter is labeled as the least significant bit (LSB) replacement, and its embedding capacity is 1 bit, gets into the said i of judgement then whether less than the step of s;
If the corresponding index of said j bit does not belong to said index set P, the step that then gets into the said j=j+1 of setting;
If the corresponding index of said j+1 bit belongs to said index set P, then under the decimal system, said i parameter carried out+2 respectively
J-1,-2
J-1,+2
j,-2
jComputing; Get into then and saidly replace the raw parameter in the said speech frame with the hiding parameter of the i after the computing; And with the subjective speech quality assessment algorithm speech frame after replacing is tested, to obtain the step of one group of subjective speech quality assessment value of j bit in said i the hiding parameter;
If j is not more than N
i, then return and saidly judge whether the corresponding index of j bit of said i hiding parameter belongs to the step that P gathered in said index;
If i less than s, then is provided with i=i+1, and return the bit number N of said judgement i hiding parameter
iWhether equal 1 step.
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