Datasets:

LocalDoc
/

fleurs-azerbaijani-asr

language:
  - az
license: cc-by-4.0
task_categories:
  - automatic-speech-recognition
tags:
  - azerbaijani
  - asr
  - speech
  - fleurs
  - benchmark
pretty_name: FLEURS Azerbaijani ASR Benchmark

FLEURS Azerbaijani ASR Benchmark

Azerbaijani (az_az) subset of FLEURS, reformatted for ASR benchmarking and fine-tuning.

Source

Based on FLEURS dataset by Google (Conneau et al., 2022). Licensed under CC-BY-4.0.

Structure

Split	Samples	Duration
train	2656	9.28h
dev	400	1.35h
test	921	3.23h

Fields

audio — 16kHz mono WAV
sentence — transcription (original casing and punctuation)
sentence_normalized — normalized (lowercase, no punctuation)
gender — male / female
duration_seconds — audio duration

Usage

from datasets import load_dataset

ds = load_dataset("LocalDoc/fleurs-azerbaijani-asr")

# Benchmark
test = ds["test"]

# Training
train = ds["train"]

Citation

@article{fleurs2022arxiv,
  title={FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech},
  author={Conneau, Alexis and Ma, Min and Khanuja, Simran and Zhang, Yu and Axelrod, Vera and Dalmia, Siddharth and Riesa, Jason and Rivera, Clara and Bapna, Ankur},
  journal={arXiv preprint arXiv:2205.12446},
  year={2022},
}