Speaker recognition and the ETSI Standard Distributed Speech Recognition Front-End

نویسندگان

  • Charles C. Broun
  • William M. Campbell
  • David Pearce
  • Holly Kelleher
چکیده

With the advent of Wireless Application Protocol (WAP) and 2.5/3G communication systems, the mobile device has become a window to the Internet. A natural interface to this mobile device is through speech. To address this need, a new European Telecommunications Standards Institute (ETSI) standard front-end has evolved for Distributed Speech Recognition (DSR). The goal of the ETSI DSR front-end is to standardize client-server speech recognition applications with a common feature set and quantization method. Although originally evolved as a speech recognition standard, we propose it is also a method of standardizing distributed speaker recognition authentication. To this end, we perform experiments using the DSR parameterization for a speaker recognition application. Results indicate excellent preservation of speaker identity in the DSR standard. This testing shows that DSR brings the potential for a promising new era of portable authentication for applications in personalization and security.

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

Distributed Speaker Recognition Using the Etsi Aurora Standard

The ETSI “Aurora” is a standard for distributed speech recognition over the mobile cellular network. We have investigated the use of the features defined in this standard for speaker recognition, in a text-independent system based on Gaussian Mixture Models (GMM). The application context is distributed speaker recognition for user authentication on the mobile cellular network. We have found tha...

متن کامل

Extraction of Speaker Features from Different Stages of DSR Front-Ends for Distributed Speaker Verification

The ETSI has recently published a front-end processing standard for distributed speech recognition systems. The key idea of the standard is to extract the spectral features of speech signals at the front-end terminals so that acoustic distortion caused by communication channels can be avoided. This paper investigates the effect of extracting spectral features from different stages of the front-...

متن کامل

A low-resource, miniature implementation of the ETSI distributed speech recognition front-end

The purpose of this work is to demonstrate that distributed speech recognition front-ends can be deployed in environments which provide for very little power and CPU resources, with possibly no degradation of speech recognition quality when compared to standard floatingpoint implementations. The ETSI distributed speech recognition front-end standard is implemented on an ultra low-power miniatur...

متن کامل

Speaker Recognition for DSR

Due to the coexistence of different compression algorithms in the fixed and mobile telephone networks, it is impossible to predict which combination of coders and channels the speech has undergone before arriving to the server. To overcome the previous mentioned problem, the European Telecommunication Standards Institute (ETSI) has standardized a front-end for Distributed Speech Recognition (DS...

متن کامل

A Low-resource, Miniature of the Etsi Distributed Speech R

The purpose of this work is to demonstrate that distributed speech recognition front-ends can be deployed in environments which providefor very little power and CPU resources, with possibly no degradation of speech recognition quality when compared to standard floatingpoint implementations. The ETSI distributed speech recognition front-end standard is implemented on an ultra low-power miniature...

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 2001