A speech synthesis method, electronic equipment and smart home system
A technology of speech synthesis and speech, which is applied in speech synthesis, speech analysis, audio data retrieval, etc., and can solve problems such as the inability to distinguish the pronunciation of polyphonic characters or pseudonyms in sentences
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Embodiment 1
[0049] This embodiment provides a speech synthesis method, which uses a more rigorous method to determine the speech to be synthesized and perform speech synthesis. figure 1 It is an overall flowchart of the speech synthesis method of the embodiment of the present invention, as figure 1 As shown, the speech synthesis method mainly includes the following steps S101 to S106.
[0050] Before implementing the speech synthesis method, it is necessary to construct a knowledge graph in advance, and store the required voice collection through the constructed knowledge graph, figure 2 It is a flow chart of the method for constructing a knowledge map according to an embodiment of the present invention, such as figure 2 As shown, the step S101 of building a knowledge graph includes the following substeps S1011 to S1014.
[0051] In step S1011, according to multiple usage scenarios of the user, tags corresponding to each usage scenario are determined, and a connection between the usag...
Embodiment 2
[0074] This embodiment provides an electronic device, which can apply the above speech synthesis method, Figure 4 It is a block diagram of the workflow of the electronic device in the embodiment of the present invention, such as Figure 4 As shown, the electronic device mainly includes the following functional modules.
[0075] The voice recognition server 101 is configured to acquire voice demand data input by a user.
[0076] The semantic understanding server 102 is configured to analyze the voice demand data, obtain user intentions, and extract quasi-intention tags from the user intentions.
[0077] The knowledge graph server 103, wherein a knowledge graph is stored, a plurality of tags and a voice collection associated with each tag are stored in the knowledge graph, the knowledge graph server 103 is configured to determine the target intent tag according to the quasi-intent tag, from the constructed knowledge graph Query the voice collection associated with the target ...
Embodiment 3
[0095] This embodiment provides a smart home system, including one or more electronic devices mentioned above, and the user can control any electronic device as needed, making life more convenient and interesting.
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