Speech-data/bengali-speech-dataset

🎧 Bengali Speech Dataset

The Bengali Speech Dataset is a high-quality speech audio dataset designed to support advanced AI and machine learning systems with reliable audio data. It provides structured voice data for building and evaluating modern speech technologies, including conversational AI and multilingual models. The dataset contains 156 hours of audio data across 643 files, delivered in MP3 and WAV formats, with a total size of 285 MB, making it a scalable resource for research and production environments.

This well-balanced audio dataset includes 52% female and 48% male speakers, with age distribution ranging from 18 to 50+ years. The dataset language is Bengali, offering natural linguistic variation across speakers and accents. This makes it a robust voice dataset suitable for developing diverse speech data applications. It is structured to ensure clean segmentation and high-quality recordings, making it an effective speech recognition dataset for modern AI pipelines.

---

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

---

🚀 Use Cases

This Bengali speech dataset is widely applicable in speech recognition, conversational AI systems, voice biometrics, and accent detection. It also supports language model training, phonetic research, and text-to-speech synthesis. The structured speech audio dataset enables efficient preprocessing and model training for both academic and industrial AI use cases.

---

⭐ Key Value

The primary value of this speech dataset lies in its linguistic diversity, balanced speaker representation, and production-ready structure. It provides high-quality audio data that enhances the performance of AI systems in real-world multilingual environments. This voice dataset is especially valuable for building scalable and accurate speech-based technologies.