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Abstract

Extends the multilingual FLEURS benchmark to Northern Kurdish with 5,162 validated utterances totaling 18 hours and 24 minutes from 31 native speakers. The resource supports ASR and speech-translation evaluation; the reported Whisper v3-large ASR baseline achieved 28.11% WER and 9.84% CER.

Keywords

Automatic Speech Recognition Northern Kurdish Kurmanji FLEURS Whisper

Related Datasets

Mozilla Common Voice 18.0 - Northern Kurdish

2024 Approximately 101 recorded hours; approximately 68 validated hours Audio, Text Transcriptions

Northern Kurdish (Kurmanji) speech data from Mozilla Common Voice 18.0 used for end-to-end Transformer-based ASR research. The referenced study reports approximately 101 hours of recorded speech and …

FLEURS-Kobani

2026 5,162 validated utterances; 18 hours 24 minutes; 31 speakers Audio, Text Transcriptions

An extension of the FLEURS multilingual speech benchmark for Northern Kurdish. The resource contains 5,162 validated utterances totaling 18 hours and 24 minutes of speech from 31 native speakers and …

Citation

Jaff, D. Q., & Mohammadamini, M. (2026). FLEURS-Kobani: Extending the FLEURS Dataset for Northern Kurdish. Proceedings of the First Workshop on Dialects in NLP.

Publication Details

Authors 2 authors
Datasets 2 datasets