Automatic pronunciation error detection of Chinese based on SVM and structural features

نویسندگان

  • Akemi Hoshino
  • Masayuki Suzuki
  • Nobuaki Minematsu
  • Keikichi Hirose
چکیده

* , ( )

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

Pronunciation error detection techniques for children's speech

In this article we present a novel method for automatic pronunciation error detection of children’s speech. A phone graph is generated from the audio segment and augmented if necessary with alignments of phonetic transcriptions of the word to score. This graph is used for extracting phone-level features using conventional HMM/GMM acoustic scores and Support Vector Machine (SVM) classifiers acti...

متن کامل

Developing a New Method in Object Based Classification to Updating Large Scale Maps with Emphasis on Building Feature

According to the cities expansion, updating urban maps for urban planning is important and its effectiveness is depend on the information extraction / change detection accuracy. Information extraction methods are divided into two groups, including Pixel-Based (PB) and Object-Based (OB). OB analysis has overcome the limitations of PB analysis (producing salt-pepper results and features with hole...

متن کامل

Automatic Pavement Crack Detection Based on Aerial Imagery

Road health information is an important indicator for assessing the status of the road in management systems. Identifying the abandonment of surfaces is an important process in maintaining roads and traffic safety, which is traditionally conducted on the basis of field surveys. Today, remote sensing methods, especially photogrammetric imaging, are presented. In this article, based on by UAVs im...

متن کامل

SUBCLASS FUZZY-SVM CLASSIFIER AS AN EFFICIENT METHOD TO ENHANCE THE MASS DETECTION IN MAMMOGRAMS

This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...

متن کامل

Improving phone verification using state-level posterior features and support vector machine for automatic mispronunciation detection

An important aspect of a Computer-Assisted Language Learning (CALL) system for pronunciation acquisition is the automatic detection of mispronunciations. This problem can be formulated as a phone verification task. For each phone to be verified, the system generates a verification score and a decision threshold is applied to accept or reject the pronunciation of that phone. Most verification sy...

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 2012