The Tajik Speech Dataset is a comprehensive collection of high-quality audio recordings from native Tajik speakers across Tajikistan and Uzbekistan. This professionally curated dataset contains 87 hours of authentic Tajik speech data meticulously annotated for machine learning applications.
Tajik, a Persian language variety spoken by over 8 million people and official language of Tajikistan, is captured with distinctive phonological features essential for developing accurate speech recognition systems serving Central Asian Persian-speaking populations.
Dataset General Info
| Parameter | Details |
| Size | 87 hours |
| Format | MP3/WAV |
| Tasks | Speech recognition, AI training, voice assistant development, natural language processing, acoustic modeling, speaker identification |
| File size | 276 MB |
| Number of files | 674 files |
| Gender of speakers | Female: 49%, Male: 51% |
| Age of speakers | 18-30 years: 25%, 31-40 years: 30%, 40-50 years: 24%, 50+ years: 21% |
| Countries | Tajikistan, Uzbekistan |
Use Cases
National Digital Development: Tajikistan government agencies can utilize the Tajik Speech Dataset to develop voice-enabled e-government services, national digital infrastructure, and citizen platforms in national language. Voice interfaces support Tajikistan’s digital transformation, make government services accessible in Tajik Persian variety, enable voice-based service delivery across mountainous terrain, and facilitate governance in national language. Applications include government portals, healthcare systems, education services, agricultural extension, and tourism platforms serving Tajikistan’s predominantly Tajik-speaking population.
Cross-Border Persian Language Services: Organizations serving Tajik populations across Tajikistan and Uzbekistan can leverage this dataset to build communication platforms, cultural connection tools, and transnational information services. Voice technology connects Tajik speakers across borders, facilitates Persian language communication in Central Asian context distinct from Iranian Persian, supports linguistic identity maintenance, and enables services for Tajik communities in multiple countries. Applications include diaspora communication, cultural platforms, educational resources, and systems supporting Tajik linguistic identity in Turkic-dominated Central Asia.
Cultural Heritage and Persian Identity: Cultural organizations can employ this dataset to develop platforms preserving Tajik cultural heritage, documenting Persian literary traditions, and maintaining Central Asian Persian identity. Voice technology preserves Tajik connection to broader Persian linguistic and cultural sphere, supports documentation of Tajik literature and traditions, enables cultural education, and maintains linguistic heritage. Applications include poetry platforms featuring works of Rudaki and classical Persian literature, oral history archives, cultural education tools, and resources celebrating Tajik as easternmost Persian language linking Central Asia to Iranian plateau.
FAQ
Q: What is included in this dataset?
A: The dataset includes 87 hours of audio recordings with 674 files totaling 276 MB, complete with transcriptions and linguistic annotations.
Q: How diverse is the speaker demographic?
A: Features 49% female and 51% male speakers across age groups: 25% (18-30), 30% (31-40), 24% (40-50), 21% (50+).
How to Use the Speech Dataset
Step 1: Dataset Acquisition – Download the dataset package from the provided link upon purchase.
Step 2: Extract and Organize – Extract to your storage and review the structured folder organization.
Step 3: Environment Setup – Install ML framework dependencies and audio processing libraries.
Step 4: Data Preprocessing – Load audio files and apply preprocessing steps like resampling and feature extraction.
Step 5: Model Training – Split into training/validation/test sets and train your model.
Step 6: Evaluation and Fine-tuning – Evaluate performance and iterate on architecture.
Step 7: Deployment – Export and integrate your trained model into production systems.
For comprehensive documentation, refer to included guides.
