Datasets:
AudioID stringclasses 1
value | audio_text stringclasses 1
value | gender stringclasses 1
value | duration stringclasses 1
value | format stringclasses 1
value | __index_level_0__ stringclasses 1
value |
|---|---|---|---|---|---|
Ovo je skup glasovnih audio podataka koji možete koristiti za potrebe treniranja umjetne inteligencije. Svaka snimka pažljivo je pripremljena kako bi se osigurala jasna izgovor | prirodan ritam i dosljedna kvaliteta zvuka za primjene strojnog učenja. Sustavi umjetne inteligencije oslanjaju se na velike količine visokokvalitetnih glasovnih podataka kako bi poboljšali svoje performanse. Snimanjem ovih rečenica jasno i prirodno doprinosite razvoju naprednije tehnologije prepoznavanja govora. | Female | 0:37 | Mp3 | Croatian |
🎧 Croatian Speech Dataset
The Croatian Speech Dataset is a high-quality speech audio dataset designed to deliver structured and diverse audio data for AI-powered voice applications. It includes 174 hours of audio data across 817 files, provided in MP3 and WAV formats, with a total size of 381 MB. This well-balanced audio dataset ensures reliable voice data, with an equal distribution of 50% male and 50% female speakers, and a wide age range from 18 to 50+ years. The dataset language is Croatian, with speakers from Croatia, Bosnia and Herzegovina, and Serbia, making it a representative language speech dataset for regional linguistic variation.
🔗 Learn more:
https://speech-data.ai/datasets/croatian/
🚀 Use Cases
This Croatian speech dataset supports a wide range of AI applications, including speech recognition, voice assistant development, and translation systems. The structured speech data enables efficient acoustic modeling, accent detection, and language identification. It serves as a reliable speech recognition dataset for both research and production environments, ensuring consistent performance across dialects and recording conditions.
📊 Dataset Metadata
| Field | Value |
|---|---|
| 📜 License | CC BY-NC-ND 4.0 |
| 🎯 Task Categories | Automatic Speech Recognition |
| 🌍 Language | Croatian (hr) |
| 🏷️ Tags | Audio, Speech, Speech Recognition, Machine, Machine Learning |
| 📦 Size Category | n < 1K |
⭐ Key Value
The core value of this speech dataset lies in its balanced speaker distribution, regional diversity, and production-ready structure. It provides high-quality audio data that improves model accuracy and robustness in real-world scenarios. This voice dataset is ideal for building scalable and efficient voice-enabled AI systems.
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