Comparison of Three Methods of Eliminating Musical Tones in Speech Denoising Subtractive Techniques. - Anis Ben Aicha; Sofia Ben Jebara (ICECS, 2006)

Perceptual musical noise reduction using critical bands tonality coefficients and masking thresholds. - Anis Ben Aicha; Sofia Ben Jebara (INTERSPEECH, 2007)

Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications. - Anis Ben Aicha; Sofia Ben Jebara (NOLISP, 2007)

Decorrelation of input signals for stereophonic acoustic echo cancellation using the class of perceptual equivalence. - Anis Ben Aicha; Sofia Ben Jebara (EUSIPCO, 2008)

Some refelexions and results about the effect of speech denoising algorithms on speech quality. - Anis Ben Aicha; Sofia Ben Jebara (ISSPA, 2010)

Effects of Intra-frame Noise Smoothing on Speech Enhancement Algorithms. - Anis Ben Aicha; Sofia Ben Jebara (NOLISP, 2011)

BionicWavelet Based Denoising Using Source Separation. - Talbi Mourad; Anis Ben Aicha; Lotfi Salhi; Adnane Cherif (Int. J. Comput. Commun. Control, 2012)

Reduction of musical residual noise using perceptual tools with classic speech denoising techniques. - Anis Ben Aicha; Sofia Ben Jebara (Signal Image Video Process., 2012)

Perceptual speech quality measures separating speech distortion and additive noise degradations. - Anis Ben Aicha; Sofia Ben Jebara (Speech Commun., 2012)

Adaptive noise smoothing for speech enhancement filters. - Anis Ben Aicha (EUROCON, 2013)

Statistical selection of relevant objective criteria for speech enhancement assessment. - Anis Ben Aicha; Sofia Ben Jebara (ATSIP, 2014)

On the use of artificial neural network to predict denoised speech quality. - Anis Ben Aicha (EUSIPCO, 2014)

Cancer larynx detection using glottal flow parameters and statistical tools. - Anis Ben Aicha; Kadria Ezzine (ISIVC, 2016)

Noise estimation for speech enhancement algorithms with post-smoothness processor incorporating global posterior SNR. - Anis Ben Aicha (Multim. Tools Appl., 2017)

Investigation of the phase importance in "LF model". - Anis Ben Aicha (ATSIP, 2018)

Decryption of BSS based encrypted speech without a priori knowledge of the key signal. - Anissa Farhati; Anis Ben Aicha; Ridha Bouallegue (ATSIP, 2018)

On the strengthening of the speech encryption schemes for communication systems based on blind source separation approach. - Anissa Farhati; Anis Ben Aicha; Ridha Bouallegue (IWCMC, 2018)

Voice source modelling using modified LF model with reduced parameters. - Anis Ben Aicha (KES, 2018)

Noninvasive Detection of Potentially Precancerous Lesions of Vocal Fold Based on Glottal Wave Signal and SVM Approaches. - Anis Ben Aicha (KES, 2018)

Contribution of Data Augmentation for the Prenventive Detection of Vocal Fold Precancerous Lesions. - Anis Ben Aicha (KES, 2019)

Machine Learning Based Approach to Assess Denoised Speech. - Anis Ben Aicha (KES, 2019)

Speech spoofing countermeasures based on source voice analysis and machine learning techniques. - Raoudha Rahmeni; Anis Ben Aicha; Yassine Ben Ayed (KES, 2019)

Conventional Machine Learning Techniques with Features Engineering for Preventive Larynx Cancer Detection. - Anis Ben Aicha (ATSIP, 2020)

Speech spoofing detection using SVM and ELM technique with acoustic features. - Raoudha Rahmeni; Anis Ben Aicha; Yassine Ben Ayed (ATSIP, 2020)

Acoustic features exploration and examination for voice spoofing counter measures with boosting machine learning techniques. - Raoudha Rahmeni; Anis Ben Aicha; Yassine Ben Ayed (KES, 2020)

Voice spoofing detection based on acoustic and glottal flow features using conventional machine learning techniques. - Raoudha Rahmeni; Anis Ben Aicha; Yassine Ben Ayed (Multim. Tools Appl., 2022)

A Deep Learning Approach for Salivary Gland Echographic Image Analysis in Sjögren's Syndrome Detection. - Nour Nouira; Houssem Eddine Lassoued; Rim Bourguiba; Syrine Bellakhal; Mehdi Charfi; Hela Mahersia; Anis Ben Aicha; Habib Fathallah (AICCSA, 2024)

Conventional Machine Learning and Feature Engineering for Vocal Fold Precancerous Lesions Detection Using Acoustic Features. - Anis Ben Aicha; Fadi Kacem (Circuits Syst. Signal Process., 2024)

Deep learning applied for abnormal human behavior recognition in video surveillance systems: A systematic review. - Olfa Saket; Anis Ben Aicha; Habib Fathallah (Appl. Intell., 2025)