Text-independent Speaker Verification

نویسنده

  • Gintaras Barisevičius
چکیده

This paper describes one of the biometric systems text-independent speaker verification. It discusses the different stages of speaker verification in text-independent systems as well mentioning other systems for speaker verification. Each stage has its subparts, so those parts are discussed as well. The methods for the speaker-verification are displayed in the article. Feature extraction from the raw speech data is discussed. Preemphasis, windowing and other parts of feature extraction are mentioned. Vector Quantization, Gaussian Mixture Model, Hidden Markov Model, Artificial Neural Network approaches for classification in speaker verification are overviewed.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Text Dependent and Text Independent Speaker Verification Systems. Technology and Applications

This paper discusses the differences in Text Dependent and Text Independent Speaker Verification Systems. It shows the basic principles behind these technologies. Some most common applications are reviewed.

متن کامل

Vulnerability evaluation of speaker verification under voice conversion spoofing: the effect of text constraints

Voice conversion, a technique to change one’s voice to sound like that of another, poses a threat to even high performance speaker verification system. Vulnerability of text-independent speaker verification systems under spoofing attack, using statistical voice conversion technique, was evaluated and confirmed in our previous work. In this paper, we further extend the study to text-dependent sp...

متن کامل

A Chinese phoneme clustering theory and its application to a text independent speaker verification system

This paper presents a new idea of Chinese phoneme clustering and a text independent speaker verification system with this technique applied. It changes the way of conventional verification method with averaging features used, instead, both the dynamic and static features of speech are included in our new method. Also it leads to fast and efficient clustering algorithm in the training phase. The...

متن کامل

Improving Robustness of Speaker Verification by Fusion of Prompted Text-Dependent and Text-Independent Operation Modalities

In this paper we present a fusion methodology for combining prompted text-dependent and text-independent speaker verification operation modalities. The fusion is performed in score level extracted from GMM-UBM single mode speaker verification engines using several machine learning algorithms for classification. In order to improve the performance we apply clustering of the score-based data befo...

متن کامل

DNN i-Vector Speaker Verification with Short, Text-Constrained Test Utterances

We investigate how to improve the performance of DNN ivector based speaker verification for short, text-constrained test utterances, e.g. connected digit strings. A text-constrained verification, due to its smaller, limited vocabulary, can deliver better performance than a text-independent one for a short utterance. We study the problem with “phonetically aware” Deep Neural Net (DNN) in its cap...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005