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[Speech/Voice recognition/combineHTK_basic_tutorial

Description: HMM模型应用领域很多,HTM只要是用于语音识别。这是它的basic tutorial.它是用C语言实现的开源软件-HMM model for many applications, HTM as long as it is used for speech recognition. This is its basic tutorial. It is realized by C language open source software
Platform: | Size: 75776 | Author: CPP | Hits:

[Speech/Voice recognition/combinedigit-recognition-tutorial-dict

Description: HTK是语音识别的有用工具。但是初学者使用较为困难。 本例子适合初学者快速熟悉htk的使用方法。很有帮助。-The HTK toolkit is useful for speech recognising. However, using it properly is not very easy for beginners.This is a basic sample which is not so difficult to a beginner. You ll find it helpful.:)
Platform: | Size: 3072 | Author: 自然快乐 | Hits:

[Windows DevelopHTK_basic_tutorial

Description: In this tutorial, we will only record isolated words (“Yes” or “No”) preceded and followed by a short silence. For each signal, we have to label 3 successive regions: start silence (with label sil), the recorded word (with label yes or no), and end silence (with label sil). These 3 regions cannot overlap with each other (but no matter if there is a little gap between them). When the 3 labels have been written, press “Save”: a label file called any_name_0.lab is created. At this point you can press “Quit”.-In this tutorial, we will only record isolated words (" Yes" or " No" ) preceded and followed by a short silence. For each signal, we have to label 3 successive regions: start silence (with label sil), the recorded word (with label yes or no), and end silence (with label sil). These 3 regions cannot overlap with each other (but no matter if there is a little gap between them). When the 3 labels have been written, press " Save " : a label file called any_name_0.lab is created. At this point you can press" Quit " .
Platform: | Size: 75776 | Author: static | Hits:

[Speech/Voice recognition/combinethehtkbooks

Description: This first part of the book attempts to provide this information. In this chapter, the basic ideas of HMMs and their use in speech recognition are introduced. The following chapter then presents a brief overview of HTK and, for users of older versions, it highlights the main differences in version 2.0 and later. Finally in this tutorial part of the book, chapter 3 describes how a HMM-based speech recogniser can be built using HTK. It does this by describing the construction of a simple small vocabulary continuous speech recogniser.-This first part of the book attempts to provide this information. In this chapter, the basic ideas of HMMs and their use in speech recognition are introduced. The following chapter then presents a brief overview of HTK and, for users of older versions, it highlights the main differences in version 2.0 and later. Finally in this tutorial part of the book, chapter 3 describes how a HMM-based speech recogniser can be built using HTK. It does this by describing the construction of a simple small vocabulary continuous speech recogniser.
Platform: | Size: 1805312 | Author: static | Hits:

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