---
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}}

```