Benchmarking Feature Selection Techniques on the Speaker Verification Task
نویسندگان
چکیده
As a part of our preparation for the 2004 NIST Speaker Recognition Evaluation, we evaluated the practical usefulness of five feature ranking and selection methods. Seeking for improvement of the overall performance of our speaker verification system, WCL-1, we studied the relevance and contribution of the individual speech parameters. Furthermore, the choice of an appropriate dimensionality of the speech feature vector was investigated. Comparative results obtained on the NIST 2001 Speaker Recognition Evaluation database are reported.
منابع مشابه
Variable print quality
In the literature, much research work has been done in the area of speaker verification. The developments include: different types of speaker verification techniques, methods for feature extraction, measures for telephone channel compensation, system robustness etc. In contrast, the problem of acoustic feature selection for speaker verification has been relatively neglected. Hence our aim is to...
متن کاملBridging the semantic gap for software effort estimation by hierarchical feature selection techniques
Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE model is appropriate if it provides the accuracy and confidence simultaneously before softwa...
متن کاملText-independent speaker verification using ant colony optimization-based selected features
With the growing trend toward remote security verification procedures for telephone banking, biometric security measures and similar applications, automatic speaker verification (ASV) has received a lot of attention in recent years. The complexity of ASV system and its verification time depends on the number of feature vectors, their dimensionality, the complexity of the speaker models and the ...
متن کاملFrame Length Selection in Speaker Verification Task
In this paper an approach based on the use of different frame lengths for the feature extraction process in the training and recognition phases of a speaker verification system is presented. It is able to sensibly reduce the ER and the degradation on performance related to the training/verification feature mismatch. The potentiality of the approach are investigated in an a-posteriori search of ...
متن کاملOn Feature Selection for Speaker Verification
This paper describes an HMM based speaker verification system, which verifies speakers in their own specific feature space. This ‘individual’ feature space is determined by a Dynamic Programming (DP) feature selection algorithm. A suitable criterion, correlated with Equal Error Rate (EER) was developed and is used for this feature selection algorithm. The algorithm was evaluated on a text-depen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006