Efficient Speaker Change Detection Using Adapted Gaussian Mixture Models

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

Speaker Verification Using Adapted Gaussian Mixture Models

In this paper we describe the major elements of MIT Lincoln Laboratory’s Gaussian mixture model (GMM)-based speaker verification system used successfully in several NIST Speaker Recognition Evaluations (SREs). The system is built around the likelihood ratio test for verification, using simple but effective GMMs for likelihood functions, a universal background model (UBM) for alternative speaker...

متن کامل

Text Independent Speaker Verification Using Adapted Gaussian Mixture Models Textoberoende talarverifiering med adapterade Gaussian-Mixture-modeller

The primary goal of this master thesis project is to implement a text independent speaker verification module for GIVES. Secondary goals are to implement a fast scoring method and compare performance between the implemented text independent module and an available text dependent module. The project also includes a literature study. The text independent module is based on adapted Gaussian Mixtur...

متن کامل

Speaker Identification Using Gaussian Mixture Models

In this paper, the performance of Perceptual Linear Prediction (PLP) features has been compared with the performance of Linear Prediction Coefficient (LPC) features for speaker identification. Two classification techniques, Gaussian Mixture Models (GMM) and Vector Quantization (VQ) with Dynamic time wrapping (DTW) are used for classification of speakers based on their speech samples into respec...

متن کامل

Robust text-independent speaker identification using Gaussian mixture speaker models

This paper introduces and motivates the use of Gaussian mixture models (CMM) for robust text-independent speaker identification. The individual Gaussian components of a GMM are shown to represent some general speaker-dependent spectral shapes that are efTective for modeling speaker identity. The focus of this work is on applications which require high identification rates using short utterance ...

متن کامل

Automatic Speaker Recognition Using Gaussian Mixture Speaker Models

• Speech conveys several levels of information. On a primary level, speech conveys the words or message being spoken, but on a secondary level, speech also reveals information about the speaker. The Speech Systems Technology group at Lincoln Laboratory has developed and experimented with approaches for automatically recognizing the words being spoken, the language being spoken, and the topic of...

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: IEEE Transactions on Audio, Speech and Language Processing

سال: 2007

ISSN: 1558-7916

DOI: 10.1109/tasl.2007.896665