activity
20202022
most citedJira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon

5 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SD2022

How to Leverage DNN-based speech enhancement for multi-channel speaker verification?

Sandipana Dowerah, Romain Serizel, Denis Jouvet +2

Speaker verification (SV) suffers from unsatisfactory performance in far-field scenarios due to environmental noise andthe adverse impact of room reverberation. This work presents…

cs.CL2021

CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish

Morteza Naserzade, Aso Mahmudi, Hadi Veisi +2

A morphological analyzer, which is a significant component of many natural language processing applications especially for morphologically rich languages, divides an input word int…

cs.AI2021★ 2 cited

Central Kurdish machine translation: First large scale parallel corpus and experiments

Zhila Amini, Mohammad Mohammadamini, Hawre Hosseini +2

While the computational processing of Kurdish has experienced a relative increase, the machine translation of this language seems to be lacking a considerable body of scientific wo…

cs.AI2021★ 5 cited

Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon

Hadi Veisi, Hawre Hosseini, Mohammad Mohammadamini +2

In this paper, we introduce the first large vocabulary speech recognition system (LVSR) for the Central Kurdish language, named Jira. The Kurdish language is an Indo-European langu…

eess.AS2020

Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf +3

In speech technologies, speaker's voice representation is used in many applications such as speech recognition, voice conversion, speech synthesis and, obviously, user authenticati…

cs.SD2020★ 2 cited

Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments

Mohammad Mohammadamini, Driss Matrouf

The explosion of available speech data and new speaker modeling methods based on deep neural networks (DNN) have given the ability to develop more robust speaker recognition system…