Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- automatic-speech-recognition
language:
- mk
tags:
- audio
- speech
- speech recognition
- machine
- machine learning
- Macedonian
size_categories:
- n<1K
🎧 Macedonian Speech Dataset
The Macedonian Speech Dataset is a high-quality speech audio dataset designed to provide structured and reliable audio data for AI and machine learning systems. It includes 128 hours of audio data distributed across 654 files, delivered in MP3 and WAV formats, with a total size of 279 MB. This carefully curated audio dataset ensures diverse and representative voice data, with 55% female and 45% male speakers, and an age range spanning from 18 to 50+ years. The dataset language is Macedonian, with recordings collected across North Macedonia and neighboring regions, making it a valuable language speech dataset for modeling regional linguistic nuances.
🔗 Learn more:
https://speech-data.ai/datasets/macedonian/
🚀 Use Cases
This Macedonian speech dataset supports a wide spectrum of AI applications, including speech recognition, voice assistant development, and natural language processing. The structured speech data enables efficient acoustic modeling and speaker identification, making it a dependable speech recognition dataset for both research and production environments. It is particularly useful for multilingual AI systems that require consistent and high-quality speech audio dataset resources to improve performance across diverse accents and contexts.
📊 Dataset Metadata
| Field | Value |
|---|---|
| 📜 License | CC BY-NC-ND 4.0 |
| 🎯 Task Categories | Automatic Speech Recognition |
| 🌍 Language | Macedonian (mk) |
| 🏷️ Tags | Audio, Speech, Speech Recognition, Machine, Machine Learning, Macedonian |
| 📦 Size Category | n < 1K |
⭐ Key Value
The key value of this voice dataset lies in its balanced demographic composition, regional diversity, and production-ready structure. It provides high-quality audio data that enhances model accuracy and generalization. This speech dataset is a strong foundation for building scalable, robust, and high-performance voice-enabled AI solutions.