FEATURE EXTRACTION ALGORITHM USING NEW CEPSTRAL TECHNIQUES FOR ROBUST SPEECH RECOGNITION

Autor: Houcine Bourouba, Rafik Djemili, Mohamed Cherif Amara Korba

Publikováno v: Malaysian Journal of Computer Science. 33:90-101

In this work, we propose a novel feature extraction algorithm that improves the robustness of automatic speech recognition (ASR) systems in the presence of various types of noise. The proposed algorithm uses a new cepstral technique based on the diff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b7d20af4ef1e17467a27ea74bc90398
https://doi.org/10.22452/mjcs.vol33no2.1

Noise Robust Features Based on MVA Post-processing

Autor: Rafik Djemili, Djemil Messadeg, Houcine Bourouba, Mohamed Cherif Amara Korba

Publikováno v: IFIP Advances in Information and Communication Technology
5th International Conference on Computer Science and Its Applications (CIIA)
5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.155-166, ⟨10.1007/978-3-319-19578-0_13⟩
IFIP Advances in Information and Communication Technology ISBN: 9783319195773
CIIA

Part 6: Information Technology: Text and Speech Processing; International audience; In this paper we present effective technique to improve the performance of the automatic speech recognition (ASR) system. This technique consisting mean subtraction,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc2c57dc11a8c89b977a327fd6495cfa
https://hal.inria.fr/hal-01789970

Signature recognition using binary features and KNN

Autor: Rafik Djemili, Houcine Bourouba, Hedjaz Hezil

Publikováno v: International Journal of Biometrics. 10:1

This paper proposes the use of binary features in offline signature recognition systems. Indeed, offline signature recognition finds mainly its importance for the authentication of administrative and official documents in which a higher accuracy is n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e39ee0203170f047721a6d7109b67155
https://doi.org/10.1504/ijbm.2018.090121

Ear recognition based on Multi-bags-of-features histogram.

Autor: Houcine, Bourouba, Hakim, Doghmane, Amir, Benzaoui, Hani, Boukrouche A

Publikováno v: 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT); 2015, p1-6, 6p