Convolutional neural networks for scops owl sound classification

AA Hidayat, TW Cenggoro, B Pardamean - Procedia Computer Science, 2021 - Elsevier
Adopting a deep learning model into bird sound classification tasks becomes a common
practice in order to construct a robust automated bird sound detection system. In this paper …

Unsupervised news topic modelling with Doc2Vec and spherical clustering

A Budiarto, R Rahutomo, HN Putra… - Procedia Computer …, 2021 - Elsevier
In the digital and Internet era, companies are racing to profile their target users based on
their online activities. One of the reliable sources is the news articles they read that can …

Gender-based multi-aspect sentiment detection using multilabel learning

JA Kumar, TE Trueman, E Cambria - Information Sciences, 2022 - Elsevier
Sentiment analysis is an important task in the field of natural language processing that aims
to gauge and predict people's opinions from large amounts of data. In particular, gender …

[PDF][PDF] A transfer learning strategy for owl sound classification by using image classification model with audio spectrogram

KW Gunawan, AA Hidayat, TW Cenggoro… - International Journal on …, 2021 - ijeei.org
This paper presents an improved approach to train models that can be used to accurately
predicting animal presence based on its sound with a limited dataset. Currently, deep …

[PDF][PDF] Repurposing transfer learning strategy of computer vision for owl sound classification

KW Gunawan, AA Hidayat, TW Cenggoro… - Procedia Comput …, 2023 - researchgate.net
Accurately predicting an owl species based on its sound can be helpful for owl conservation.
To build an accurate model for owl sound classification, deep learning is currently the most …

Ten-year compilation of# savekpk twitter dataset

R Rahutomo, A Budiarto, K Purwandari… - 2020 International …, 2020 - ieeexplore.ieee.org
Politic is one of the most favorite topics to discuss in social media for people in Indonesia. It
was proven when a people movement to support the Commission of Corruption Eradication …

Comparative study of machine learning algorithms for voice based gender identification

S Srivastava, H Sharma, D Garg - … International conference on …, 2022 - ieeexplore.ieee.org
Gender classification is one of the major challenges in the domain of speech analysis now-a-
days. Identification of gender from acoustic properties of voice such as mean, median, and …

[PDF][PDF] An Overview of Gender Recognition Systems Using Acoustic Voice Analysis

E Dıaz-Ocampo, A Magadán-Salazar… - Intelligent Learning …, 2023 - rcs.cic.ipn.mx
Intelligent learning environments are a category of academic software that implements
artificial intelligence techniques to assist a student in learning. However, to have a greater …

Sinaptik Etkinlik Fonksiyon Tabanlı Sızdıran Entegre ve Ateşleme Nöron Modelini Kullanarak İnsan Ses Sinyallerinde Cinsiyet Tespiti

V Tümen - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2022 - dergipark.org.tr
Günümüzdeki teknolojik gelişmeler, insanların bir ses sinyalinden konuşmacının cinsiyetini
belirlemesi mümkün kılmıştır. Frekans türleri, spektral ve entropi gibi sayısal nitelikli veriler …