1. A voice codingdecoding method comprising:
performing voice coding;
computing a value of at least one characteristic parameter via the voice coding;
compressing the computed value of the at least one characteristic parameter; and
transmitting the compressed data;
wherein the compressed data is decompressed to restore a parameter value used to decode coded voice.
2. The method of claim 1, wherein the voice coding comprises vocoding.
3. The method of claim 1, wherein the voice coding is code excited linear prediction (CELP) coding.
4. The method of claim 1, wherein the computed value of the at least one characteristic parameter is a value representing that an error between a synthesized sound by the voice coding and a voice inputted to the voice coding is less than a first threshold.
5. The method of claim 4, wherein the at least one characteristic parameter comprises at least one of a codebook index, a codebook gain, a pitch period, a feedback gain, and a linear prediction coefficient.
6. The method of claim 5, wherein the pitch period is used in long-term prediction.
7. The method of claim 5, wherein the linear prediction coefficient is used in short-term prediction.
8. The method of claim 5, further comprising temporarily storing the codebook index, the codebook gain, the pitch period, the feedback gain, and the linear prediction coefficient prior to the compressing step.
9. The method of claim 5, wherein an update period of each of the codebook index, the codebook gain, the pitch period, and the feedback gain is set to be shorter than that of the linear prediction coefficient.
10. The method of claim 9, wherein a sum of the update periods of the codebook index, the codebook gain, the pitch period, and the feedback gain is set to be equal to the update period of the linear prediction coefficient.
11. The method of claim 1, wherein the compressing step is performed by lossless compression.
12. The method of claim 1, wherein the compressed data is transmitted by a predetermined bit unit.
13. A voice coding apparatus comprising:
a voice coder performing voice coding;
at least one compression unit compressing at least one characteristic parameter value computed by the voice coder in a predetermined period; and
a bit stream transport unit rendering an output of the compression unit into a bit stream having a predetermined length.
14. The apparatus of claim 13, wherein the voice coder is a code excited linear prediction (CELP) coder.
15. The apparatus of claim 13, wherein the compression unit compresses the characteristic parameter value, computed wherein the characteristic parameter value is when an error between a sound synthesized by the voice coder and a voice inputted to the voice coder is less than a first threshold.
16. The apparatus of claim 13, wherein the compression block performs lossless compression.
17. The apparatus of claim 13, wherein the characteristic parameter comprises at least one of a codebook index, a codebook gain, a pitch period, a feedback gain, and a linear prediction coefficient.
18. The apparatus of claim 17, further comprising at least one buffer temporarily storing at least one of the codebook index, the codebook gain, the pitch period, the feedback gain, and the linear prediction coefficient prior to compressing.
19. The apparatus of claim 18, further comprising:
a first buffer temporarily storing at least one of the codebook index, the codebook gain, the pitch period, and the feedback gain; and
a second buffer temporarily storing the linear prediction coefficient.
20. The apparatus of claim 19, wherein an update period of at least one of the codebook index, the codebook gain, the pitch period, and the feedback gain in the first buffer is set to be shorter than that of the linear prediction coefficient in the second buffer.
21. The apparatus of claim 20, wherein a sum of the update periods of the codebook index, the codebook gain, the pitch period, and the feedback gain is set to be equal to the update period of the linear prediction coefficient.
22. The apparatus of claim 19, further comprising:
a first compression unit compressing a parameter value stored in the first buffer; and
a second compression unit compressing a parameter value stored in the second buffer.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer-based method for simulation, modeling and scheduling of a biopharmaceutical manufacturing facility, comprising the steps of:
(i) identifying a high-level process step of a biopharmaceutical production process, said high-level process step including a plurality of unit operations, each said unit operation being associated with a unit operation identifier code; wherein scheduling cycle values are defined for each of said plurality of unit operations;
(ii) referencing a process parameter master list for each of said unit operation identifier codes in said production process, said process parameter master list including information on individual tasks and task duration involved with each of said unit operations;
(iii) determining the equipment turn-around-time (ETT) associated with solution storage equipment in the biopharmaceutical manufacturing facility; and
(iv) simulating said process thereby generating a process time line based upon said scheduling cycle values and ETT that identifies (a) initiation and completion times for each of said individual tasks for each unit operation in said production process, and (b) the need of redundant solution storage equipment to service said tasks.
2. The method of claim 1, wherein said step of determining the ETT, comprising the steps of:
(1) determining a Peak Load Scheduling Frame (PLF) for a solution, wherein said PLF defines a start and duration of a reiterative scheduling frame in which a usage profile for said solution over multiple use points in a given biopharmaceutical manufacturing facility is first observed once said biopharmaceutical manufacturing facility has reached steady state;
(2) determining a latest solution finish datetime in said PLF for a solution based on scheduling of multiple use points for said solution in the biopharmaceutical manufacturing facility;
(3) determining an earliest solution start datetime in said PLF for said solution based on scheduling of multiple use points for said solution in the biopharmaceutical manufacturing facility;
(4) determining an available ETT at a beginning of the PLF for said solution;
(5) determining ark available ETT at an end of the PLF for said given solution; and
(6) determining a total ETT available in a PLF for said solution by adding the available ETT at the beginning and end of a PLF for said solution.
3. The method of claim 2, further comprising determining a total equipment turn-around-time (ETT) available in a Peak Load Scheduling Frame (PLF) for a solution, wherein an extra storage vessel for said solution is needed if said total ETT available in said PLF for said solution is not greater than said sum of durations required to clean, sterilize and recharge a given solution storage vessel.
4. A computer-based method for simulation, modeling and scheduling of a biopharmaceutical manufacturing facility, comprising the steps of:
(i) identifying a high-level process step of a biopharmaceutical production process, said high-level process step including a plurality of unit operations, each said unit operation being associated with a unit operation identifier code; wherein scheduling cycle values are defined for each of said plurality of unit operations;
(ii) referencing a process parameter master list for each of said unit operation identifier codes in said production process, said process parameter master list including information on individual tasks and task duration involved with each of said unit operations;
(iii) determining a need for redundant equipment items for solution storage operations in a biopharmaceutical manufacturing facility, including the steps of determining a total equipment turn-around-time (ETT) available in a Peak Load Scheduling Frame (PLF) for a solution, wherein an extra storage vessel for said solution is needed if said total ETT available in said PLF for said solution is not greater than said sum of durations required to clean, sterilize andor recharge a given solution storage vessel; and
(iv) simulating said process thereby generating a process time line based upon said scheduling cycle values and ETT that identifies (a) initiation and completion times for each of said individual tasks for each unit operation in said production process, and (b) the need of redundant solution storage equipment to service said tasks.