Regional-language voice data for AI that understands India
Mainstream speech models still struggle with India's regional languages. Lotus Avio sources and records high-fidelity, ethically licensed speech data in Maithili, Bhojpuri, Magahi and more — the fuel for accurate speech recognition and natural text-to-speech.
The languages people actually speak
Hundreds of millions of Indians speak languages that voice assistants, IVR systems and transcription tools handle poorly. We help AI teams close that gap with data built by people who speak these languages natively.
- Balanced coverage across dialects and demographics
- Consistent, low-noise audio suitable for training
- Careful transcripts and metadata, QA-verified
- Scales from pilot corpora to large production datasets
Built for quality at scale
Native-speaker sourcing
Access to a wide, consent-based panel of native speakers across dialects, ages and genders for balanced datasets.
Clean, isolated recording
Low-noise recording environments and consistent capture for a high signal-to-noise ratio your models can rely on.
Accurate transcription
Word-level transcripts and metadata, verified through a rigorous QA process before delivery.
Ethical & licensed
Clear consent, usage rights and licensing frameworks so the data is safe to build on.
From spec to model-ready data
- 01
Scope & spec
We align on languages, dialects, speaker mix, prompts, volume and delivery format.
- 02
Source & record
We recruit vetted native speakers and record in controlled, low-noise conditions.
- 03
Transcribe & QA
Every file is transcribed, checked and validated against your quality criteria.
- 04
Deliver model-ready
Clean audio, transcripts and metadata delivered in the formats your pipeline expects.
Voice-data projects
AI-Voice DataGoogle Speech Dataset Partnership
A high-volume, high-fidelity phonetic speech corpus to train localized voice recognition and TTS.
View case study
AI-Voice DataBhojpuri AI Voice Data Collection
A native Bhojpuri speech database — thousands of clean voice prints for next-generation regional voice models.
View case studyNeed voice data in a specific language?
Tell us the languages, dialects and volume you're targeting, and we'll scope a dataset for your models.