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Found 6 papers, 1 papers with code
Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus
The main goal of this corpus is to foster research in far-field and multi-channel text-independent speaker verification.
CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish
In order to provide a benchmark for future research, we collected, manually labeled, and publicly shared test sets for evaluating accuracy and coverage of the analyzer.
Central Kurdish machine translation: First large scale parallel corpus and experiments
Our corpus is collected from different text genres and domains in an attempt to build more robust and real-world applications of machine translation.
Jira: a Kurdish Speech Recognition System Designing and Building Speech Corpus and Pronunciation Lexicon
To fill this gap, we introduce the first speech corpus and pronunciation lexicon for the Kurdish language.
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
In order to allow the user to choose which information to protect, we introduce in this paper the concept of attribute-driven privacy preservation in speaker voice representation.
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments
Previous studies suggest that by increasing the number of speakers in the training data and using data augmentation more robust speaker recognition systems are achievable in noisy environments.
