Datasets:
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README.md
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license: cc-by-nc-nd-4.0
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license: cc-by-nc-nd-4.0
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task_categories:
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- automatic-speech-recognition
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language:
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- hi
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tags:
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- audio
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- Hindi
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- speech
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- speech recognition
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- machine
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- machine learning
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size_categories:
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- n<1K
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---
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# π§ Hindi Speech Dataset
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The **Hindi Speech Dataset** is a high-quality and structured **speech audio dataset** developed to support modern AI systems that rely on diverse **audio data** and scalable **voice data**. It contains **132 hours of recordings** distributed across **565 files**, available in **MP3 and WAV formats**, with a total size of **101 MB**. This carefully curated **audio dataset** provides balanced speaker representation with **49% female and 51% male contributors**, covering an age range from **18 to 50+ years**. The **dataset language** is Hindi, with additional speaker diversity from countries including India, Nepal, Fiji, Mauritius, Suriname, Guyana, and Trinidad and Tobago, making it a globally relevant **language speech dataset**.
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---
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π **Learn more:**
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https://speech-data.ai/datasets/hindi-speech/
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---
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## π Use Cases
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This **Hindi speech dataset** is designed for advanced AI applications such as **speech recognition**, voice assistant development, and natural language processing. The structured **speech data** supports acoustic modeling, speaker identification, and robust machine learning pipelines. It is particularly valuable for building multilingual and cross-regional systems that depend on high-quality **speech audio dataset** resources. As a reliable **speech recognition dataset**, it can be used in both research environments and production-grade deployments of voice-enabled technologies.
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---
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## π Dataset Metadata
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| Field | Value |
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|------------------|-----------------------------------------------------------------------|
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| π License | CC BY-NC-ND 4.0 |
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| π― Task Categories | Automatic Speech Recognition |
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| π Language | Hindi (hi) |
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| π·οΈ Tags | Audio, Hindi, Speech, Speech Recognition, Machine, Machine Learning |
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| π¦ Size Category | n < 1K |
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---
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## β Key Value
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The key value of this **voice dataset** lies in its linguistic coverage, balanced demographics, and high-quality **audio data** optimized for real-world AI training. It enhances model accuracy across accents and regional variations, making it a strong foundation for scalable **speech dataset** development and multilingual speech intelligence systems.
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