1. A fluid physical-quantity measuring method of measuring temperature distribution of a fluid that flows through a pipe line by using a BOCDA-type optical fiber sensor, said measuring method comprising the steps of:
preparing an optical fiber whose at least part is arranged in said pipe line along a flow direction of the fluid;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of the optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
determining temperature distribution along the longitudinal direction of a portion of said optical fiber which is located in said pipe line, as the temperature distribution of the fluid in said pipe line.
2. A fluid physical-quantity controlling method of measuring temperature distribution of a fluid that flows through a pipe line by using a BOCDA-type optical fiber sensor, and controlling the temperature distribution of the fluid into a predetermined distribution pattern, said controlling method comprising the steps of:
preparing one or more heatingcooling means provided to said pipe line along a flow direction of the fluid and, as well as preparing an optical fiber whose at least part is arranged in said pipe line along the flow direction of the fluid;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of said optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
adjusting each temperature of said one or more heatingcooling means provided to said pipe line such that the temperature distribution of the fluid in said pipe line becomes a predetermined distribution pattern, on the basis of a measurement result of the temperature distribution of the fluid in said pipe line.
3. A fluid physical-quantity measuring method of measuring temperature distribution of a fluid contained in a container by using a BOCDA-type optical fiber sensor, said measuring method comprising the steps of:
preparing an optical fiber whose at least part is arranged in said container two-dimensionally or three-dimensionally;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of said optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
determining temperature distribution along the longitudinal direction of a portion of said optical fiber which is located within said container, as the temperature distribution of the fluid in said container.
4. A fluid physical-quantity controlling method of measuring temperature distribution of a fluid contained in a container by using a BOCDA-type optical fiber sensor, and controlling the temperature distribution of the fluid into a predetermined distribution pattern, said controlling method comprising the steps of:
preparing one or more heatingcooling means provided in said container, as well as preparing an optical fiber whose at least part is arranged two-dimensionally or three-dimensionally with respect to said container;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of said optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
adjusting each temperature of said one or more heatingcooling means provided to said container such that the temperature distribution of the fluid in said container becomes a predetermined distribution pattern, on the basis of a measurement result of the temperature distribution of the fluid in said container.
5. A fluid physical-quantity measuring method of measuring a flow rate of a fluid that flows through a pipe line by using a BOCDA-type optical fiber sensor, said measuring method comprising the steps of:
preparing an optical fiber whose at least part is arranged in said pipe line along a flow direction of the fluid;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of said optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
determining the flow rate of the fluid that flows through said pipe line, on the basis of a measurement result of temperature distribution along the longitudinal direction of a portion of said optical fiber which is located within said pipe line, and a temporal change of the temperature distribution.
6. A fluid physical-quantity controlling method of measuring a flow rate of a fluid that flows through a pipe line by using a BOCDA-type optical fiber sensor, and controlling the flow rate of the fluid to a predetermined value, said controlling method comprising the steps of:
preparing a flow volume adjusting means, for adjusting the flow rate of the fluid, provided to said pipe line, as well as preparing an optical fiber whose at least part is arranged along a flow direction of the fluid in said pipe line;
inputting pumping light from one end of said optical fiber, while inputting probe light from the other end of said optical fiber;
measuring Brillouin gain spectrum induced at a desired position of said optical fiber in a longitudinal direction thereof, by modulating frequencies of the pumping light and probe light inputted oppositely from both ends of said optical fiber; and
controlling the flow volume adjusting means such that the flow rate of the fluid in said pipe line approaches a predetermined value, on the basis of a measurement result of temperature distribution along the longitudinal direction of a portion of said optical fiber which is located within said pipe line, and a temporal change of the temperature distribution.
7. A fluid physical-quantity measuring method according to claim 1, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
8. A fluid physical-quantity controlling method according to claim 2, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
9. A fluid physical-quantity measuring method according to claim 3, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
10. A fluid physical-quantity measuring method according to claim 5, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
11. A fluid physical-quantity controlling method according to claim 4, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
12. A fluid physical-quantity controlling method according to claim 6, wherein a sampling interval and spatial resolution of the temperature distribution measurement along the longitudinal direction of said optical fiber, a range of the temperature distribution measurement, and an execution time of the temperature distribution measurement are set by adjusting frequency-modulation patterns of the pumping light and probe light in accordance with a kind of the fluid, which is an object to be measured.
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 method comprising:
processing source speech at a first voice conversion model trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech;
communicating an output of the first voice conversion model to a second voice conversion model trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech; and
processing the output of the first voice conversion model at the second voice conversion model to produce target speech corresponding to the source speech.
2. The method of claim 1, further comprising an initial operation of training the first and second voice conversion models using the training source speech and the training target speech in which utterances of the training source speech are not parallel to utterances of the training target speech.
3. The method of claim 2, wherein training the first voice conversion model comprises training the first voice conversion model to convert the training source speech to the synthetic speech corresponding to the training source speech in which the synthetic speech is generated by a text-to-speech device having parallel text corresponding to the training source speech.
4. The method of claim 2, wherein training the second voice conversion model comprises training the second voice conversion model for conversion to the training target speech from the synthetic speech corresponding to the training target speech in which the synthetic speech is generated by a text-to-speech device having parallel text corresponding to the training target speech.
5. The method of claim 1, wherein processing the source speech at the first voice conversion model comprises converting the source speech to intermediate synthetic speech based on the first voice conversion model.
6. The method of claim 5, wherein processing the output of the first voice conversion model comprises converting the intermediate synthetic speech to the target speech based on the second voice conversion model.
7. The method of claim 1, wherein communicating the output of the first voice conversion model to the second voice conversion model comprises concatenating the first and second voice conversion models.
8. A computer program product comprising at least one computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
a first executable portion for processing source speech at a first voice conversion model trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech;
a second executable portion for communicating an output of the first voice conversion model to a second voice conversion model trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech; and
a third executable portion for processing the output of the first voice conversion model at the second voice conversion model to produce target speech corresponding to the source speech.
9. The computer program product of claim 8, further comprising a fourth executable portion for an initial operation of training the first and second voice conversion models using the training source speech and the training target speech in which utterances of the training source speech are not parallel to utterances of the training target speech.
10. The computer program product of claim 9, wherein the fourth executable portion includes instructions for training the first voice conversion model to convert the training source speech to the synthetic speech corresponding to the training source speech in which the synthetic speech is generated by a text-to-speech device having parallel text corresponding to the training source speech.
11. The computer program product of claim 9, wherein the fourth executable portion includes instructions for training the second voice conversion model for conversion to the training target speech from the synthetic speech corresponding to the training target speech in which the synthetic speech is generated by a text-to-speech device having parallel text corresponding to the training target speech.
12. The computer program product of claim 8, wherein the first executable portion includes instructions for converting the source speech to intermediate synthetic speech based on the first voice conversion model.
13. The computer program product of claim 12, wherein the third executable portion includes instructions for converting the intermediate synthetic speech to the target speech based on the second voice conversion model.
14. The computer program product of claim 8, wherein the second executable portion includes instructions for concatenating the first and second voice conversion models.
15. An apparatus comprising:
a first voice conversion model trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech; and
a second voice conversion model trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech,
wherein an output of the first voice conversion model is communicated to the second voice conversion model to process source speech input into the first voice conversion model into target speech corresponding to the source speech as the output of the second voice conversion model.
16. The apparatus of claim 15, further comprising a processing element configured to perform an initial operation of training the first and second voice conversion models using the training source speech and the training target speech in which utterances of the training source speech are not parallel to utterances of the training target speech.
17. The apparatus of claim 16, further comprising a text-to-speech device in communication with the first and second voice conversion models and wherein the processing element is further configured to train the first voice conversion model to convert the training source speech to the synthetic speech corresponding to the training source speech in which the synthetic speech is generated by the text-to-speech device having parallel text corresponding to the training source speech.
18. The apparatus of claim 16, further comprising a text-to-speech device in communication with the first and second voice conversion models and wherein the processing element is further configured to train the second voice conversion model for conversion to the training target speech from the synthetic speech corresponding to the training target speech in which the synthetic speech is generated by the text-to-speech device having parallel text corresponding to the training target speech.
19. The apparatus of claim 15, further comprising a processing element configured to convert the source speech to intermediate synthetic speech based on the first voice conversion model.
20. The apparatus of claim 19, wherein the processing element is further configured to convert the intermediate synthetic speech to the target speech based on the second voice conversion model.
21. The apparatus of claim 15, wherein the first and second voice conversion models are concatenated.
22. An apparatus comprising:
means for processing source speech at a first voice conversion model trained with respect to conversion of training source speech to synthetic speech corresponding to the training source speech;
means for communicating an output of the first voice conversion model to a second voice conversion model trained with respect to conversion to training target speech from synthetic speech corresponding to the training target speech; and
means for processing the output of the first voice conversion model at the second voice conversion model to produce target speech corresponding to the source speech.
23. The apparatus of claim 22, further comprising means for an initial operation of training the first and second voice conversion models using the training source speech and the training target speech in which utterances of the training source speech are not parallel to utterances of the training target speech.
24. A method comprising;
generating synthetic speech corresponding to training source speech based on parallel text corresponding to the training source speech;
training a first voice conversion model with respect to converting source speech to first synthetic speech based on the training source speech and the synthetic speech corresponding to the training source speech;
generating synthetic speech corresponding to the training target speech based on parallel text corresponding to the training target speech; and
training a second voice conversion model with respect to converting second synthetic speech to target speech based on the training target speech and the synthetic speech corresponding to the training target speech.
25. The method of claim 24, further comprising concatenating the first and second voice conversion models to enable the production of the target speech corresponding to input source speech.