| 1. | Studies on automatic speaker verification system
基于倒谱与复杂性的说话人确认系统 |
| 2. | Speaker verification based on ubm and cohort model
基于全局背景模型和竞争者模型的说话人确认系统 |
| 3. | It can be classified into speaker identification and speaker verification according to decision modes
说话人识别可以分为说话人鉴定和说话人确认两大类。 |
| 4. | 2 ) in order to improve the performance of gaussian mixture model , we use hypothesize test to do the speaker verification
2 )为了进一步提高高斯混合模型的识别效果,采用假设检验的方式进行说话人确认。 |
| 5. | Robust speaker verification in low bit rate channels the influence of speech coding on text - independent speaker verification was studied
研究了多种低速率信道环境下，语音编码对与文本无关说话人确认的影响。 |
| 6. | It is a branch of speech recognition . it can be divided into speaker identification and speaker verification . firstly the basic theory of speaker recognition is discussed
本文主要研究的是说话人识别，它是语音识别的一个分支，可分为说话人辨认和说话人确认。 |
| 7. | We introduce two anti - models : universal background model and cohort model . considering the feather of the two models , we combine them using a new combination method
针对上述两个模型的优势互补性,尝试将两个模型结合起来,提出了一种基于统一背景模型与群模型的改进说话人确认模型。 |
| 8. | This thesis focuses attention on text - independent speaker verification . the main works are as follows : 1 ) we have a deep research in basic theories of speaker recognition and the speaker verification system based on gaussian mixture model
本文的研究内容是基于文本无关的说话人确认系统,主要做了以下的工作: 1 )深入细致地研究了说话人确认的原理以及基于高斯混合模型的说话人确认系统。 |
| 9. | 3 ) we try to import the bayesian adaptation , which is widely used in speech recognition , into speaker verification . we use bayesian maximum a posteriori estimation training a speaker model from background model , to solve the problem of model miss matching in speaker verification system
3 )为了解决说话人确认中存在的模型不匹配问题,尝试将语音识别中的贝叶斯自适应算法引入到基于高斯混合统一背景模型的说话人确认系统。 |
| 10. | At present , most speaker recognition systems are working on the computer . after primarily focusing on technique of feature extraction and recognition , this paper realizes a set of practical speaker verification system on spce061a , which can be applied to many fields of voice control
目前国内外绝大部分说话人识别系统都是基于计算机来进行的,本文在重点研究说话人识别系统中的特征参数提取、识别方法等关键技术的基础上,在凌阳16位单片机spce061a上实现了一套具有实用意义的说话人确认系统,在进一步完善的情况下,可将其应用于语音门锁、语音考勤、医用语音控制等。 |
