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
- 760
-
- Speakers
- 1,000+
-
- Sentence Accuracy Rate
- 95%
- 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
- 760
-
- Speakers
- 1,000+
-
- Sentence Accuracy Rate
- 95%
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 | 760 |
| Number of speakers | 1,004 |
| Labeling | Annotation (text content, speaker's ID, gender, age and other attributes) |
| Gender | Male (48%), Female (52%) |
| Recording device | Telephone |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Audio Format | PCM, a-law/u-law |
| Sampling Rate | 8kHz |
| Number of Channels | Mono |
| Bit Depth | 8 bit |
| Recording condition | Low background noise (indoor) |
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