JD has been granted a patent for a speech synthesis method and device in the field of computer technology. The method involves segmenting text based on language category, converting segments into phonemes, and generating speech using a vocoder. The innovation aims to improve speech synthesis accuracy. GlobalData’s report on JD gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on JD, Automated guided vehicles was a key innovation area identified from patents. JD's grant share as of January 2024 was 28%. Grant share is based on the ratio of number of grants to total number of patents.
Speech synthesis method based on language category segmentation
A recently granted patent (Publication Number: US11881205B2) discloses a speech synthesis method that involves dividing a text into segments based on language categories, converting these segments into phonemes, inputting them into a speech synthesis model, and generating speech using a vocoder. The method also includes recognizing language categories based on character encodes, determining prosodic structures, and training the speech synthesis model using various acoustic characteristic parameters.
Furthermore, the patent describes a speech synthesis device and a non-transitory computer-readable storage medium with instructions to execute the speech synthesis method. The device and storage medium perform tasks such as segmenting text, converting segments into phonemes, inputting them into a speech synthesis model, and generating speech using a vocoder. Additionally, the method involves recognizing language categories, determining prosodic structures, and training the speech synthesis model with acoustic characteristic parameters. The patent highlights the use of advanced models like encoders, decoders, attention models, and deep neural networks in the speech synthesis process, ensuring accurate and efficient conversion of text into speech.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
