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SYSTEM AND METHOD FOR EFFICIENT STORAGE OF VOICE RECOGNITION MODELS

机译:有效存储语音识别模型的系统和方法

摘要

A method and system that improves voice recognition by improving storage of voice recognition (VR) templates. The improved storage means that more VR models can be stored in memory. The more VR models that are stored in memory, the more robust the VR system and therefore the more accurate the VR system. Lossy compression techniques are used to compress VR models. In one embodiment, A-law compression and A-law expansion are used to compress and expand VR models. In another embodiment, Mu-law compression and Mu-law expansion are used to compress and expand VR models. VR models are compressed during a training process and they are expanded during voice recognition.
机译:通过改进语音识别(VR)模板的存储来改进语音识别的方法和系统。改进的存储意味着可以在内存中存储更多的VR模型。存储在内存中的VR模型越多,VR系统越健壮,因此VR系统越精确。有损压缩技术用于压缩VR模型。在一个实施例中,使用A律压缩和A律扩展来压缩和扩展VR模型。在另一个实施例中,使用Mu-law压缩和Mu-law扩展来压缩和扩展VR模型。 VR模型在训练过程中被压缩,在语音识别过程中被扩展。

著录项

  • 公开/公告号IL156891A

    专利类型

  • 公开/公告日2004-02-08

    原文格式PDF

  • 申请/专利权人 QUALCOMM INCORPORATED;

    申请/专利号IL156891

  • 发明设计人

    申请日2003-07-10

  • 分类号

  • 国家 IL

  • 入库时间 2022-08-21 23:10:35

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