Packet Loss Modelling for Distributed Speech Recognition

نویسنده

  • Ben Milner
چکیده

The evaluation of packet loss compensation techniques for distributed speech recognition requires an effective model of packet loss that is capable of reproducing the burst-like occurrence of loss. Several models have been applied to this task and are based on two or three state Markov chains or Markov models. This work reviews these models in terms of their channel characteristics such as the probability of packet loss and average burst length. Validation of the models is made against both GSM error patterns and a wireless LAN channel which demonstrates effective simulation. A series of speech recognition tests show that similar performance is obtained on the real and simulated channels using the packet loss models. Finally a set of model parameters is presented which allows testing across a range of channel conditions.

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

Robust distributed speech recognition in noise and packet loss conditions

a r t i c l e i n f o a b s t r a c t This paper examines the performance of a Distributed Speech Recognition (DSR) system in the presence of both background noise and packet loss. Recognition performance is examined for feature vectors extracted from speech using a physiologically-based auditory model, as an alternative to the more commonly-used Mel Frequency Cepstral Coefficient (MFCC) front-...

متن کامل

A Comparison of Efficient Interleaver Designs for Real Time Distributed Speech Recognition

Packet loss presents a significant problem for distributed speech recognition systems particularly when burst lengths of loss are long. This work first proposes an extension to convolutional interleavers such that bursts of packet loss are maximally dispersed to minimise the duration of bursts of loss in the received feature vector stream. This is achieved by interleaving each dimension of the ...

متن کامل

Combining packet loss compensation methods for robust distributed speech recognition

This paper presents a combined packet loss compensation system for distributed speech recognition (DSR). Compensation is applied at three stages within the DSR process beginning with interleaving on the terminal device to reduce burst lengths in the received feature vector stream. On the receiver side estimation of missing vectors is applied to reconstruct the feature vector stream prior to rec...

متن کامل

An analysis of packet loss models for distributed speech recognition

The evaluation of packet loss compensation techniques for distributed speech recognition requires an effective model of packet loss that is capable of reproducing the burst-like occurrence of loss. Several models have been applied to this task and are based on two or three state Markov chains or Markov models. This work reviews these models in terms of their channel characteristics such as the ...

متن کامل

Analysis and compensation of packet loss in distributed speech recognition using interleaving

The aim of this work is to improve the robustness of speech recognition systems operating in burst-like packet loss. First a set of highly artificial packet loss profiles are used to analyse their effect on both recognition performance and on the underlying feature vector stream. This indicates that the simple technique of vector repetition can make the recogniser robust to high percentages 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

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 2004