搜索结果: 1-6 共查到“信息处理技术 Class”相关记录6条 . 查询时间(0.156 秒)
Optimizing Age-of-Information in a Multi-class Queueing System
Optimizing Age-of-Information Multi-class Queueing System
2016/1/22
We consider the age-of-information in a multi-class M/G/1 queueing system, where each class generates packets containing status information. Age of information is a relatively new metric that measures...
On the Sum Capacity of A Class of Cyclically Symmetric Deterministic Interference Channels
Sum Capacity Class Cyclically Symmetric Deterministic Interference Channels
2015/8/17
Certain deterministic interference channels have been shown to accurately model Gaussian interference channels in the asymptotic low-noise regime.
The Capacity Region of a Class of 3-Receiver Broadcast Channels with Degraded Message Sets
The Capacity Region Class of 3-Receiver Broadcast Channels Degraded Message Sets
2015/8/17
Korner and Marton established the capacity region ¨for the 2-receiver broadcast channel with degraded message sets.Recent results and conjectures suggest that a straightforward extension of the Korner...
A K-Phoneme-Class based Multi-Model Method for Short Utterance Speaker Recognition
A K-Phoneme-Class Multi-Model Method Short Utterance Speaker Recognition
2013/6/28
For GMM-UBM based text-independent speaker recognition, the performance decreases significantly when the test speech is too short. Considering that the use of text information is he...
Using Class Purity as Criterion for Speaker Clustering in Multi-Speaker Detection Tasks
Using Class Purity Criterion Speaker Clustering Multi-Speaker Detection Tasks
2013/6/28
Speaker clustering is an important step in multi-speaker detection tasks and its performance directly affects the speaker detection performance. It is observed that the shorter t...
Regression-class Tree based Method for Efficient Speaker Identification
Regression-class Tree Method Efficient Speaker Identification
2013/6/28
In this paper an efficient speaker identification (SpkID) method is proposed. In GMM-based speaker recognition, the model training and the likelihood score computations are very time...