0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
A Genetic-based Fusion Approach of Persian and Universal Phonetic results for Spoken Language Identification
Authors :
Ashkan Moradi
1
Yasser Shekofteh
2
Saeed Zarei
3
1- Computer Science and Engineering Department, Shahid Beheshti University, Tehran, Iran
2- Computer Science and Engineering Department, Shahid Beheshti University, Tehran, Iran
3- Computer Science and Engineering Department, Shahid Beheshti University, Tehran, Iran
Keywords :
Spoken language identification, Phonetic-based approach, perplexity, Classifier fusion, Genetic Algorithm
Abstract :
Automatic Spoken language identification (LID) refers to the automatic process of identifying languages spoken in the audio files. Pure acoustic approaches have shown great potential in LID. Since acoustic approaches have become more and more popular, phonetic information has been largely overlooked. In this paper, we present a fusion approach based on the score probabilities of two phonetic LID systems. There are two SVM classifiers trained on perplexities as their feature vectors which are obtained from phone language models of different phone recognizers. Two phone recognizers are here utilized; one decodes the speech file to a sequence of IPA alphabet, as a universal phone recognizer [1], and the other is a Farsi phone recognizer which is trained on FARSDAT databases. The experimental results conducted on 27 languages within the NIST-LRE09 corpus demonstrated that the proposed fusion approach could greatly increase the classification accuracy of target languages.
Papers List
List of archived papers
Identifying novel disease genes based on protein complexes and biological features
Mahshad Hashemi - Eghbal Mansoori
Energy Efficient Power Allocation in MIMO-NOMA Systems with ZF Receiver Beamforming in Multiple Clusters
Mahdi Nangir - Abdolrasoul Sakhaei Gharagezlou - Nima Imani
Word-level Persian Lipreading Dataset
Javad Peymanfard - Ali Lashini - Samin Heydarian - Hossein Zeinali - Nasser Mozayani
Evaluation of Efficient Electrocardiomatrix-based Identification Using Deep Learning Methods
Amirhossein Safari - Narges Mokhtari - Mohsen Hooshmand - Sadegh Sadeghi - Peyman Pahlevani
Low-Cost and Hardware Efficient Implementation of Pooling Layers for Stochastic CNN Accelerators
Mobin Vaziri - Hadi Jahanirad
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
Aref Farhadipour - Pouya Taghipour
Automatic Infrared-Based Volume and Mass Estimation System for Agricultural Products
Seyed Muhammad Hossein Mousavi - S. Muhammad Hassan Mosavi
Damage Detection After the Earthquake Using Sentinel-1 and 2 Images and Machine Learning Algorithms (Case Study: Sarpol-e Zahab Earthquake)
Niloofar Alizadeh - Behnam Asghari Beirami - Mehdi Mokhtarzade
Smart Home Connectivity: Identifying the Best IoT Application Layer Protocols
Hossein Shahinzadeh - Zohreh Azani - Sundus F. Al-Hameedawi - S. Mohammadali Zanjani - Saiedeh Mehrabani-Najafabadi - Mohammadreza Hemmati
An intelligent linguistic error detection approach to automated diagnosis of Dyslexia disorder in Persian speaking children
Fatemeh Asghari - Mahsa Khorasani - Mohsen Kahani - Seyed Amir Amin Yazdi - Mahdi Arkhodi Ghalenoei
more
Samin Hamayesh - Version 41.5.3