What Did I Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks

Autor: Lovenia, Holy, Lestari, Dessi Puji, Frieske, Rita

Audio-based pornographic detection enables efficient adult content filtering without sacrificing performance by exploiting distinct spectral characteristics. To improve it, we explore pornographic sound modeling based on different neural architecture

Externí odkaz: http://arxiv.org/abs/2209.03711

Average Window Smoothing for an Indonesian Language Online Speaker Identification System.

Autor: Satriawan, Cil Hardianto¹, Lestari, Dessi Puji¹

Publikováno v: International Journal on Electrical Engineering & Informatics. Dec2018, Vol. 10 Issue 4, p726-737. 12p.

Shared-hidden-layer Deep Neural Network for Under-resourced Language the Content.

Autor: Hoesen, Devin¹ 23514103@std.stei.itb.ac.id, Lestari, Dessi Puji¹ dessipuji@stei.itb.ac.id, Widyantoro, Dwi Hendratmo¹ dwi@stei.itb.ac.id

Publikováno v: Telkomnika. Jun2018, Vol. 16 Issue 3, p1226-1238. 13p.

Identifying Deception in Indonesian Transcribed Interviews through Lexical-based Approach

Autor: Warnita, Tifani, Lestari, Dessi Puji

Publikováno v: Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation. :148-154

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::a88bea7e342df0f745917364d9b752da
http://hdl.handle.net/2065/00058431

Automatic Extraction Phonetically Rich and Balanced Verses for Speaker-Dependent Quranic Speech Recognition System.

Autor: Yuwan, Rahmi, Lestari, Dessi Puji

Publikováno v: Computational Linguistics: 14th International Conference of the Pacific Association for Computaitonal Linguistics, PACLING 2015, Bali, Indonesia, May 19-21, 2015, Revised Selected Papers; 2016, p65-75, 11p