Regional features based speech recognition method and system

    公开(公告)号:US11488587B2

    公开(公告)日:2022-11-01

    申请号:US16823166

    申请日:2020-03-18

    Inventor: Seonyeong Park

    Abstract: Disclosed is a regional-features-based speech recognition method, including learning speech features by region using speech data classified by region category, and recognizing input speech using an acoustic model and a language model generated through classification of a region category for the input speech and the learning. A user may use a dialect recognition service that is improved using learning based on artificial intelligence (AI) and enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine-type communications (mMTC) techniques of 5G mobile communication.

    Method for generating acoustic model

    公开(公告)号:US11551672B2

    公开(公告)日:2023-01-10

    申请号:US17061166

    申请日:2020-10-01

    Abstract: A method for generating an acoustic model is disclosed. The method can generate the acoustic model with high accuracy through learning data including various dialects by training the acoustic model using text data, to which regional information is tagged, and changing a parameter of the acoustic model based on the tagged regional information. The acoustic model can be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

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