Kazakh Speech Corpus (KSC) Dataset Card
This dataset card describes the Kazakh Speech Corpus (KSC), a large-scale, open-source speech corpus for the Kazakh language.
Summary
The KSC contains approximately 332 hours of transcribed audio, comprising over 153,000 utterances spoken by participants from diverse regions, age groups, and genders. It's the largest publicly available Kazakh speech corpus, designed to advance speech and language processing applications for the Kazakh language, a low-resource language within the Turkic language family. The data was crowdsourced via a web-based platform, and rigorously checked by native Kazakh speakers to ensure high quality. Preliminary speech recognition experiments yielded promising results (2.8% character error rate and 8.7% word error rate on the test set). An ESPnet recipe for reproducible speech recognition experiments is also provided.
Dataset Statistics
| Category | Train | Valid | Test | Total |
|---|---|---|---|---|
| Duration (hours) | 318.4 | 7.1 | 7.1 | 332.6 |
| # Utterances | 147,236 | 3,283 | 3,334 | 153,853 |
| # Words | 1.61M | 35.2k | 35.8k | 1.68M |
| # Unique Words | 157,191 | 13,525 | 13,959 | 160,041 |
| # Device IDs | 1,554 | 29 | 29 | 1,612 |
| # Speakers | - | 29 | 29 | - |
Validation and Test Set Speaker Details
| Category | Valid (%) | Test (%) |
|---|---|---|
| Gender (%) | ||
| Female | 51.7 | 51.7 |
| Male | 48.3 | 48.3 |
| Age (%) | ||
| 18-27 | 37.9 | 34.5 |
| 28-37 | 34.5 | 31.0 |
| 38-47 | 10.4 | 13.8 |
| 48 and above | 17.2 | 20.7 |
| Region (%) | ||
| East | 13.8 | 13.8 |
| West | 20.7 | 17.2 |
| North | 13.8 | 20.7 |
| South | 37.9 | 41.4 |
| Center | 13.8 | 6.9 |
| Device (%) | ||
| Phone | 62.1 | 79.3 |
| Computer | 37.9 | 20.7 |
| Headphone (%) | ||
| Yes | 20.7 | 17.2 |
| No | 79.3 | 82.8 |