Conversational Hindi And English Datasets in custom Domains
LLM Fine-Tuning Data
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About
Dataset Title
Conversational Audio Datasets (Transcribed) – Hindi, English & Indic Languages
Application
This dataset is designed to support the development and improvement of speech and language AI systems. It is suitable for training, fine-tuning, and evaluating models that require high-quality conversational speech paired with accurate textual transcriptions.
- Primary use cases include:
- Automatic Speech Recognition (ASR)
- Conversational AI & Voice Assistants
- Multilingual & Indic-language NLP models
- Speech-to-Text systems
- LLM fine-tuning using aligned audio–text data
- Call-center analytics and voice intelligence
Coverage
This dataset provides broad linguistic, geographic, and demographic coverage to ensure robustness and real-world applicability of AI models.
Geographic Coverage
- India (primary)
- Region-specific and pan-India coverage
- Custom regional datasets available on request
Time Range
- Ongoing data collection
- Dataset includes recent conversational recordings collected within defined project timelines
Demographics (if applicable)
- Multiple age groups
- Mixed genders
- Diverse accents, dialects, and speaking styles
- Speakers from different socio-economic and professional backgrounds
Distribution
The dataset is structured for easy integration into AI pipelines and large-scale training workflows.
(A) Data Format
- Audio files: WAV / MP3 (high-quality, mono or stereo)
- Transcriptions: TXT / CSV / JSON
- Speaker metadata (where applicable)
- Optional time-aligned transcripts
(B) Data Volume
- Scalable dataset size
- Ranges from thousands to millions of utterances
- Custom volumes available based on client requirements
(C) Structure
- Audio file linked with corresponding transcript
- Speaker identifiers (optional)
- Language and dialect labels
- Timestamp alignment (optional)
Usage
This dataset is ideal for organizations building or improving speech-enabled AI systems, particularly for Indian and multilingual markets.
Ideal for:
- AI startups and enterprises
- Research institutions and universities
- Voice AI and speech technology companies
- Large Language Model developers
- Government and public-sector AI initiatives
LICENSE
Proprietary License (<u>Voxiphy</u>)
Commercial usage permitted under agreed terms.
Redistribution and open publication are restricted unless explicitly authorized.
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