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Commercial
Hindi Speech Recognition Dataset
The Hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech recognition, recognition systems, and NLP applications, making it an essential dataset for developing speech technology in Indian languages
-
- Hours
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The Hindi speech dataset contains a large collection of audio recordings of real-world Hindi telephone dialogues between native speakers, offering annotated training data for speech recognition, recognition systems, and NLP applications, making it an essential dataset for developing speech technology in Indian languages
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 10+
-
- Speakers
- 20+
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in Hindi for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | India(IND) |
| Hours of telephone dialogue | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Telephone |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAW, M4A, MP3 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =11 min |
Dataset Use Cases
FAQs
How is the data collected?
The data was collected using standard telephone devices in indoor environments with low background noise. This ensures clean audio recordings suitable for speech corpora, language models, and speech processing tasks.
Can I request a sample of the Hindi Speech Recognition Dataset before purchasing or downloading it?
Yes, a sample of the dataset can be requested. Reviewing the audio recordings, transcriptions, and speaker metadata helps confirm that the dataset is suitable for your speech recognition or training data requirements.
Is it possible to request a custom dataset?
Yes, Unidata offers custom datasets for specific research or commercial needs. You can request additional Hindi speech samples, different dialects of Indian languages, or special recording conditions to train more accurate recognition models.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are provided for trial and testing, while the full Hindi speech dataset is available only after purchase.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. Unidata datasets are curated in compliance with GDPR and relevant data protection regulations. All speech recordings were collected from lawful sources, ensuring ethical data collection and safe usage.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure. With ISO 27001 and ISO 27701 certifications, our system ensures the highest security, availability, and compliance with global privacy standards.
How long does it take to receive the dataset?
Once you submit a request, we will review the details and complete the required documents. After signing and payment, a dataset is usually delivered within 3–10 business days.
What makes real Hindi dialogues valuable for speech recognition training?
Real conversational Hindi captures natural communication styles, vocabulary usage, and variations in how people speak. This helps AI models perform more reliably in practical scenarios compared with training only on scripted speech.
Still have questions about using Unidata datasets?
Read our user-guides
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