Speech-data/Vietnamese-Speech-Dataset
π§ Vietnamese Speech Dataset The Vietnamese Speech Dataset is a large-scale speech audio dataset designed to support advanced AI systems with diverse and high-quality audio data. It includes 179 hours of recorded speech data across 710 files, delivered in MP3 and WAV formats, with a total size of 280 MB. This well-structured audio dataset provides balanced and representative voice data, featuring 52% female and 48% male speakers, with age coverage from 18 to 50+ years. Theβ¦ See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Vietnamese-Speech-Dataset.
π§ Vietnamese Speech Dataset
The Vietnamese Speech Dataset is a large-scale speech audio dataset designed to support advanced AI systems with diverse and high-quality audio data. It includes 179 hours of recorded speech data across 710 files, delivered in MP3 and WAV formats, with a total size of 280 MB. This well-structured audio dataset provides balanced and representative voice data, featuring 52% female and 48% male speakers, with age coverage from 18 to 50+ years. The dataset language is Vietnamese, with recordings collected from Vietnam and international communities, ensuring strong accent and dialect diversity for real-world machine learning applications.
π Learn more: https://speech-data.ai/datasets/vietnamese/
π Use Cases
This Vietnamese speech dataset is suitable for a wide range of AI-driven use cases, including speech recognition, voice assistant development, and natural language processing. The structured speech data supports accurate acoustic modeling, speaker identification, and multilingual AI system training. As a reliable speech recognition dataset, it can be used in both research and production environments requiring high-quality speech audio dataset inputs. Its geographic diversity enhances model performance across accents and conversational styles.
π Dataset Metadata
β Key Value
The key value of this voice dataset lies in its balanced demographics, regional diversity, and high-quality recordings. It delivers reliable audio data that improves model robustness and generalization across different speaking patterns. This speech dataset provides a strong foundation for scalable, accurate, and production-ready voice AI solutions.
