Multi-stream features combination based on dempster-shafer rule for LVCSR system

نویسندگان

  • Fabio Valente
  • Jithendra Vepa
  • Hynek Hermansky
چکیده

This paper investigates the combination of two streams of acoustic features. Extending our previous work on small vocabulary task, we show that combination based on Dempster-Shafer rule outperforms several classical rules like sum, product and inverse entropy weighting even in LVCSR systems. We analyze results in terms of Frame Error Rate and Cross Entropy measures. Experimental framework uses meeting transcription task and results are provided on RT05 evaluation data. Results are consistent with what has been previously observed on smaller databases.

برای دانلود رایگان 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

دسته‌بندی پرسش‌ها با استفاده از ترکیب دسته‌بندها

Question answering systems are produced and developed to provide exact answers to the question posted in natural language. One of the most important parts of question answering systems is question classification. The purpose of question classification is predicting the kind of answer needed for the question in natural language. The  literature works can be categorized as rule-based and learning...

متن کامل

محاسبه فاصله عدم قطعیت بر پایه آنتروپی شانون و تئوری دمپستر-شافر از شواهد

Abstract Dempster Shafer theory is the most important method of reviewing uncertainty for information system. This theory as introduced by Dempster using the concept of upper and lower probabilities extended later by Shafer. Another important application of entropy as a basic concept in the information theory  can be used as a uncertainty measurement of the system in specific situation In th...

متن کامل

A Learning Dempster-shafer Model for Automated Building Detection

This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptivenetwork-based fuzzy inference system, where a back propagation learning rule is employed to tune the evidence assignment functions using training samples. The...

متن کامل

An Intelligent Classifier Fusion Technique for Improved Multimodal Biometric Authentication Using Modified Dempster-shafer Rule of Combination

Multimodal biometric technology relatively is a technology developed to overcome those limitations imposed by unimodal biometric systems. The paradigm consolidates evidence from multiple biometric sources offering considerable improvements in reliability with reasonably overall performance in many applications. Meanwhile, the issue of efficient and effective information fusion of these evidence...

متن کامل

A Sensor-Based Scheme for Activity Recognition in Smart Homes using Dempster-Shafer Theory of Evidence

This paper proposes a scheme for activity recognition in sensor based smart homes using Dempster-Shafer theory of evidence. In this work, opinion owners and their belief masses are constructed from sensors and employed in a single-layered inference architecture. The belief masses are calculated using beta probability distribution function. The frames of opinion owners are derived automatically ...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007