Limited Data Speaker Verification: Fusion of Features

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Limited Data Speaker Verification: Fusion of Features

The present work demonstrates experimental evaluation of speaker verification for different speech feature extraction techniques with the constraints of limited data (less than 15 seconds). The state-of-the-art speaker verification techniques provide good performance for sufficient data (greater than 1 minutes). It is a challenging task to develop techniques which perform well for speaker verif...

متن کامل

Speaker verification with limited enrollment data

New methods for speaker veri cation that address the problems of limited training data and unknown telephone channel are presented. We describe a system for studying the feasibility of telephone based voice signatures for electronic documents that uses speaker veri cation with a xed test phrase but very limited data for training speaker models. We examine three methods for speaker veri cation t...

متن کامل

iVector Fusion of Prosodic and Cepstral Features for Speaker Verification

In this paper we apply the promising iVector extraction technique followed by PLDA modeling to simple prosodic contour features. With this procedure we achieve results comparable to a system that models much more complex prosodic features using our recently proposed SMM-based iVector modeling technique. We then propose a combination of both prosodic iVectors by joint PLDA modeling that leads to...

متن کامل

Combining source and system information for limited data speaker verification

Speaker verification using limited data is always a challenge for practical implementation as an application. An analysis on speaker verification studies for an i-vector based method using Mel-Frequency Cepstral Coefficient (MFCC) feature shows that the performance drops drastically as the duration of test data is reduced. This decrease in performance is due to insufficient phonetic coverage wh...

متن کامل

An analysis of data fusion methods for speaker verification

In this paper, we analyze the diversity of information as provided by several modeling approaches for speaker verification. This information is used to facilitate the fusion of the individual results into an overall result that provides advantages in accuracy over the individual models. The modeling methods that are evaluated consist of the neural tree network (NTN), Gaussian mixture model (GMM...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)

سال: 2017

ISSN: 2088-8708,2088-8708

DOI: 10.11591/ijece.v7i6.pp3344-3357