Hadoop acceleration through network levitated merge
Hadoop is a popular open-source implementation of the MapReduce programming model
for cloud computing. However, it faces a number of issues to achieve the best performance …
for cloud computing. However, it faces a number of issues to achieve the best performance …
I sense you by breath: Speaker recognition via breath biometrics
Over last two decades, Speaker Recognition has primarily been focused on source, system,
and prosodic features of the speech. The breath, however, has either been treated as a …
and prosodic features of the speech. The breath, however, has either been treated as a …
Enhancing Raga Identification in Indian Classical Music with FCN-based Models
S Mewada, F Patel, S Degadwala… - 2023 International …, 2023 - ieeexplore.ieee.org
In this study, we provide a novel method for improving raga identification in the field of Indian
classical music by making use of Fully Connected Convolutional Networks (FCNs). The …
classical music by making use of Fully Connected Convolutional Networks (FCNs). The …
Automatic genre classification of Indian Tamil and western music using fractional MFCC
B Rajesh, DG Bhalke - International Journal of Speech Technology, 2016 - Springer
This paper presents the automatic genre classification of Indian Tamil music and western
music using timbral features and fractional Fourier transform (FrFT) based Mel frequency …
music using timbral features and fractional Fourier transform (FrFT) based Mel frequency …
Automatic genre classification using fractional fourier transform based mel frequency cepstral coefficient and timbral features
DG Bhalke, B Rajesh, DS Bormane - Archives of Acoustics, 2017 - yadda.icm.edu.pl
This paper presents the Automatic Genre Classification of Indian Tamil Music and Western
Music using Timbral and Fractional Fourier Transform (FrFT) based Mel Frequency Cepstral …
Music using Timbral and Fractional Fourier Transform (FrFT) based Mel Frequency Cepstral …
Evaluation of Feature Extraction Methods for Bee Audio Classification
In recent years, machine learning (ML) methods have been widely used as a powerful tool
for monitoring beehives based on bee sound data. In the use of ML algorithms, it is …
for monitoring beehives based on bee sound data. In the use of ML algorithms, it is …
Identification of Indian musical instruments by feature analysis with different classifiers
S Joshi, A Chitre - Proceedings of the Sixth International Conference on …, 2015 - dl.acm.org
Most of the musical instrument identification systems that are now available are operated on
isolated notes of western musical instruments. But significant work is not yet done on Indian …
isolated notes of western musical instruments. But significant work is not yet done on Indian …
Combining auditory perception and visual features for regional recognition of Chinese folk songs
X Yang, J Luo, Y Wang, X Zhao, J Li - Proceedings of the 2018 10th …, 2018 - dl.acm.org
The regional recognition of Chinese folk songs is not only conducive to discovering music
characteristics and regional styles of specific geographical folk songs, but also has important …
characteristics and regional styles of specific geographical folk songs, but also has important …
Supervised learning and unsupervised learning on music data with different genres
C Liu, Z Chao - 2021 IEEE 7th International Conference on Big …, 2021 - ieeexplore.ieee.org
As the digital music datasets evolve fast in the past decades, researchers start to focus on
the machine learning tasks on music datasets with music content analysis. Both supervised …
the machine learning tasks on music datasets with music content analysis. Both supervised …
Identification of most contributing features for audio classification
NP Patel, MS Patwardhan - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
Audio classification is very essential for faster retrieval of audio files. Extracting best set of
features and deciding best analysis method is very important for getting best results of audio …
features and deciding best analysis method is very important for getting best results of audio …