| gated: manual | |
| language: | |
| - hy | |
| tags: | |
| - speech | |
| - audio | |
| - asr | |
| - ssl | |
| - hubert | |
| - wav2vec2 | |
| - wavlm | |
| - whisper | |
| - armenian | |
| pretty_name: Armenian 7,500-Hour Speech Dataset (VAD) | |
| # Armenian 7,500-Hour Raw Speech Dataset (Public Gated) | |
| A large-scale collection of approximately **7,500 hours** of Armenian speech, prepared for modern speech AI research and large-scale model training. | |
| The audio has been processed using **Voice Activity Detection (VAD)**, converted to **16 kHz mono PCM**, and packaged into **Snappy-compressed Parquet shards (~500 MB each)** for efficient streaming and seamless integration with the Hugging Face `datasets` library. | |
| Designed for training and pre-training state-of-the-art speech models, including **HuBERT**, **Wav2Vec 2.0**, **WavLM**, **Whisper**, and other ASR, speech representation, and speech foundation models. | |
| ## Features | |
| * ~7,500 hours of Armenian speech | |
| * Voice Activity Detection (VAD) applied | |
| * 16 kHz mono PCM audio | |
| * Snappy-compressed Parquet shards (~500 MB each) | |
| * Optimized for high-performance data loading | |
| * Fully compatible with the Hugging Face `datasets` library | |
| ## Access | |
| **Public Gated Dataset.** Access requires manual approval from the dataset owner. | |