Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
Kazakh
Size:
1K - 10K
License:
File size: 2,505 Bytes
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---
license: mit
language:
- kk
tags:
- audio
- speech
pretty_name: KSCD
size_categories:
- 1K<n<10K
task_categories:
- audio-classification
---
# Kazakh Speech Commands Dataset
**Paper:** [Speech Command Recognition: Text-to-Speech and Speech Corpus Scraping Are All You Need](https://ieeexplore.ieee.org/document/10601292)
**Repository:** [https://github.com/IS2AI/Kazakh-Speech-Commands-Dataset](https://github.com/IS2AI/Kazakh-Speech-Commands-Dataset)
**Description:** The dataset contains 3,623 utterances for 35 commands. The utterances were saved in the WAV format with a sampling rate of 16 kHz. The dataset was collected from 119 participants (62 males, 57 females) from different regions of Kazakhstan.
|ID| Command (en)|Command (kk)|# samples|
|--|--------|--------|---|
|1| backward | артқа | 113 |
|2| forward | алға | 112 |
|3| right | оңға | 106 |
|4| left | солға | 104 |
|5| down | төмен | 102 |
|6| up | жоғары | 104 |
|7| go | жүр | 101 |
|8| stop | тоқта | 107 |
|9| on | қос | 101 |
|10| off | өшір | 105 |
|11| yes | иә | 110 |
|12| no | жоқ | 107 |
|13| learn | үйрен | 108 |
|14| follow | орында | 104 |
|15| zero | нөл | 105 |
|16| one | бір | 107 |
|17| two | екі | 99 |
|18| three | үш | 107 |
|19| four | төрт | 97 |
|20| five | бес | 104 |
|21| six | алты | 101 |
|22| seven | жеті | 103 |
|23| eight | сегіз | 103 |
|24| nine | тоғыз | 100 |
|25| bed | төсек | 97 |
|26| bird | құс | 96 |
|27| cat | мысық | 97 |
|28| dog | ит | 102 |
|29| happy | бақытты | 101 |
|30| house | үй | 107 |
|31| read | оқы | 105 |
|32| write | жаз | 105 |
|33| tree | ағаш | 104 |
|34| visual | көрнекі | 100 |
|35| wow | мәссаған | 99|
**Citation:**
```bibtex
@INPROCEEDINGS{10601292,
author={Kuzdeuov, Askat and Nurgaliyev, Shakhizat and Turmakhan, Diana and Laiyk, Nurkhan and Varol, Huseyin Atakan},
booktitle={2023 3rd International Conference on Robotics, Automation and Artificial Intelligence (RAAI)},
title={Speech Command Recognition: Text-to-Speech and Speech Corpus Scraping Are All You Need},
year={2023},
volume={},
number={},
pages={286-291},
keywords={Accuracy;Speech coding;Virtual assistants;Speech recognition;Data collection;Benchmark testing;Data models;Speech commands recognition;text-to-speech;Kazakh Speech Corpus;voice commands;data-centric AI},
doi={10.1109/RAAI59955.2023.10601292}}
``` |