A discrete hidden Markov model based on the multiple vector quantization codebooks is used here for speaker-dependent discrete speech recognition in Noisy Environments.
本文介绍多码本离散隐马尔可夫模型用于含噪声语音识别的研究成果。
VQ (Vector Quantization) technique is widely used in text-dependent and text-independent speaker recognition systems.
矢量量化(VQ)技术在话者识别系统中得到了广泛的应用。
In this paper, the implementation of a real-time, speaker-cooperant and Text-dependent speaker verification system is expounded in detail.
本文详细介绍了一个说话人合作的、文本相关的说话人验证系统的实现。
Combined with characteristics of Chinese speech language, this paper presents a speaker dependent and independent medium and small vocabulary isolated words recognition system based on TMS320VC5507.
本文结合汉语语音特点，在TMS320VC5507芯片上实现了高性能特定人与非特定人中小词汇量孤立词识别系统。
The following description describes the basic features of the voice recognition mechanism which is based on a speaker dependent is dated word recognition method.
下列叙述说明了以与授话人有关的分离词汇识别法为基础的语音识别机理的基本特点。
For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).
对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；
Using different feature vectors, the effect of the vocoders differs on speaker dependent continuous speech recognition and speaker independent connected digits recognition.
对于特定人连续语音识别系统和非特定人连接词识别系统，在使用不同的特征矢量时，不同编码器产生的识别效果有比较大的差异。
Avoid using multiple speakers (a single speaker is OK) as the relative phase between the speakers will introduce frequency-dependent level changes.
避免使用多个喇叭(单一喇叭也可以)因为在喇叭之间的相关相位将引起相关频率的水平改变。
This paper is mainly about techniques to complement a text-dependent speaker verification system.
本文主要针对文本相关的说话人认证技术做了研究。
This paper is mainly about techniques to complement a text-dependent speaker verification system.
本文主要针对文本相关的说话人认证技术做了研究。
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