Datasets:

Speech-data
/

Javanese-Speech-Dataset

license: cc-by-nc-nd-4.0
task_categories:
  - automatic-speech-recognition
language:
  - jv
tags:
  - audio
  - speech
  - speech recognition
  - machine
  - machine learning
  - Javanese
size_categories:
  - n<1K

🎧 Javanese Speech Dataset

The Javanese Speech Dataset is a structured and scalable speech audio dataset designed to provide high-quality audio data for training modern AI and machine learning models. It includes 85 hours of audio data across 585 files, delivered in MP3 and WAV formats, with a total size of 104 MB. This well-balanced audio dataset offers diverse and representative voice data, with 51% female and 49% male speakers, and an age range spanning from 18 to 50+ years. The dataset language is Javanese, covering speakers from Java and Bali, making it a reliable language speech dataset for modeling regional linguistic patterns and dialectal variation.

🔗 Learn more:
https://speech-data.ai/datasets/javanese/

🚀 Use Cases

This Javanese speech dataset supports a wide range of AI applications, including speech recognition, voice assistant development, and natural language processing. The structured speech data enables efficient training pipelines for acoustic modeling and speaker identification, making it a practical speech recognition dataset for both research and production use. It is particularly valuable for low-resource language modeling, where high-quality speech audio dataset resources are limited but critical for building inclusive AI systems.

📊 Dataset Metadata

Field	Value
📜 License	CC BY-NC-ND 4.0
🎯 Task Categories	Automatic Speech Recognition
🌍 Language	Javanese (jv)
🏷️ Tags	Audio, Speech, Speech Recognition, Machine, Machine Learning, Javanese
📦 Size Category	n < 1K

⭐ Key Value

The key value of this voice dataset lies in its regional specificity, balanced speaker distribution, and production-ready format. It provides reliable audio data that enhances model performance and generalization. This speech dataset is a strong foundation for developing robust, real-world voice-enabled AI solutions.