Automatic identification of Vietnamese

This paper presents the method of determining the feature parameters and then using the Convolution Neural Network (CNN), Long-Short Term Memory networks (LSTM), and Convolutional Recurrent Neural Network (CRNN) to classify and identify some Vietnamese folk tunes as Quanho and Cheo.sing deep neural networks

21p vimulcahy 18-09-2023 7 3   Download

Automatic Lane Detection is a prerequisite in the development of self-driving cars - a new trend that will surely prevail in the near future. Lane identification has two levels including determining purely by image processing (1) and determining by machine learning (2). Processing with machine learning will produce more accurate results under a variety of environmental conditions than simply processing images.

9p huyetthienthan 23-11-2021 11 2   Download

The paper will present an overview of the classification of music genres that have been performed in Vietnam and abroad. For two types of very popular folk songs of Vietnam such as Cheo and Quanho, the paper describes the dataset and Gaussian Mixture Model (GMM) to perform the experiments on identifying some of these folk songs. The GMM used for experiment with 4 sets of parameters containing Mel Frequency Cepstral Coefficients (MFCC), energy, the first and the second derivatives of MFCC and energy, tempo, intensity, and fundamental frequency.

21p nguaconbaynhay11 07-04-2021 8 1   Download

It has obtained great results in theory as well as practical applications. However, the accuracy of identification is still limited, especially in the case of low-quality input images. In this article, we propose an efficient method to recognize information fields for identification in ID card using Convolutional Neural Network (CNN) and Long Short-Term Memory networks (LSTM).

7p tamynhan6 14-09-2020 15 2   Download

The main aim of this thesis is to overcome the second limitation of the automatic plant identification (low recognition accuracy) by proposing novel and robust methods for plant recognition. For this, we first focus on improving the recognition accuracy of plant identification based on images of one sole organ. Among different organs of the plant, we select leaf as this organ is the most widely in the literature.

27p gaocaolon6 30-07-2020 27 2   Download

The experiment result for the dialect corpus of Vietnamese shows that the performance of dialectal identification with baseline increases from 58.6% for the case using only MFCC coefficients to 70.8% for the case using MFCC coefficients and the information of fundamental frequency. By combining the formants and their bandwidths with the normalized F0 according to average and standard deviation F0, the best recognition rate is 72.2%.

12p thuyliebe 04-10-2018 42 2   Download