ELECTRONIC DEVICE AND METHOD FOR TRANSFORMING TEXT TO SPEECH UTILIZING SUPER-CLUSTERED COMMON ACOUSTIC DATA SET FOR MULTI-LINGUAL/SPEAKER
First Claim
1. An electronic device comprising:
- a processor; and
a memory electrically connected to the processor,wherein the memory is configured to store a super-clustered common acoustic data set, andwherein, the memory is further configured to store instructions to allow the processor to;
acquire at least one text,select information associated with a speech into which the acquired text is transformed,when the selected information is first information, select at least one of a plurality of first paths, load at least one element of the super-clustered common acoustic data set based on the selected at least one first path, and generate a first acoustic signal based on the loaded at least one element of the super-clustered common acoustic data set, andwhen the selected information is second information, select at least one of a plurality of second paths, load at least one element or at least one other element of the super-clustered common acoustic data set based on the selected at least one second path, and generate a second acoustic signal based on the loaded at least one element or at least one other element of super-clustered common acoustic data set.
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Abstract
An electronic device is provided. The electronic device includes a processor and a memory electrically connected to the processor. The memory stores a super-clustered common acoustic data set and instructions to allow the processor to acquire at least one text, select information associated with a speech into which the acquired text is transformed, when the selected information is first information, select at least one of first paths, load elements of the super-clustered common acoustic data set based on the selected first paths, and generate a first acoustic signal based on the elements of the super-clustered common acoustic data set, and when the selected information is second information, select at least one of second paths, load elements of the super-clustered common acoustic data set based on the at least one second path, and generate a second acoustic signal based on the elements of the super-clustered common acoustic data set.
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Citations
20 Claims
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1. An electronic device comprising:
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a processor; and a memory electrically connected to the processor, wherein the memory is configured to store a super-clustered common acoustic data set, and wherein, the memory is further configured to store instructions to allow the processor to; acquire at least one text, select information associated with a speech into which the acquired text is transformed, when the selected information is first information, select at least one of a plurality of first paths, load at least one element of the super-clustered common acoustic data set based on the selected at least one first path, and generate a first acoustic signal based on the loaded at least one element of the super-clustered common acoustic data set, and when the selected information is second information, select at least one of a plurality of second paths, load at least one element or at least one other element of the super-clustered common acoustic data set based on the selected at least one second path, and generate a second acoustic signal based on the loaded at least one element or at least one other element of super-clustered common acoustic data set. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An electronic device comprising:
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a processor; and a memory electrically connected to the processor, wherein the memory is configured to store instructions to allow the processor to; acquire a first acoustic data set corresponding to the first information associated with the speech and a second acoustic data set corresponding to the second information associated with the speech, determine a similarity between at least one element of the first acoustic data set and/or at least one element of the second acoustic data set, and generate a super-clustered common acoustic data set associated with the at least one element of the first acoustic data set and/or the at least one element of the second acoustic data set based on the determination. - View Dependent Claims (8, 9, 10)
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11. A method for transforming text to speech (TTS) of an electronic device, the method comprising:
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acquiring at least one text, selecting information associated with a speech into which the acquired text is transformed, when the selected information is first information, selecting at least one of a plurality of first paths, loading at least one element of the super-clustered common acoustic data set based on the selected at least one first path, and generating a first acoustic signal based on the loaded at least one element of the super-clustered common acoustic data set, and when the selected information is second information, selecting at least one of the plurality of second paths, loading at least one element or at least one other element of the super-clustered common acoustic data set based on the selected at least one second path, and generating a second acoustic signal based on the loaded at least one element or at least one other element of super-clustered common acoustic data set. - View Dependent Claims (12, 13, 14, 15, 16)
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17. A method for transforming text to speech (TTS) of an electronic device, the method comprising:
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acquiring a first acoustic data set corresponding to first information associated with a speech into which at least one text is transformed and/or a second acoustic data set corresponding to second information associated with the speech; determining a similarity between at least one element of the first acoustic data set and/or at least one element of the second acoustic data set; and generating a super-clustered common acoustic data set associated with the at least one element of the first acoustic data set and/or the at least one element of the second acoustic data set based on the determination. - View Dependent Claims (18, 19, 20)
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Specification