VIEW
Research ASR Datasets TTS Evals Voice Of India Human-1 Contact Us
+ + + +
Platform Infrastructure

Infrastructure
for Voice AI in India

Research Grade Datasets and Evaluations for top AI Labs and Tech companies across the world

SYSTEM ACTIVE // CORPUS SIZE: 10M+ GENERATION LABS
0M+
Hours / Year capacity
0+
Major Languages
0K+
Grassroots Speakers
0.2%
Label accuracy

Strategic Partners

Customers across our portfolio of products

OpenAI
Meta
Amazon
WhatsApp
Google
Spotify
UN
IFC
Gates Foundation
ILO
Oni
+ + + +
Foundational Mission

We Build the Voice Infrastructure AI Needs

Josh Talks enables AI labs and enterprise teams to train, evaluate, and scale voice technologies that truly understand India’s linguistic diversity. We collect, curate, and deliver research-grade conversational and multi-speaker voice datasets across Indian languages, accents, and real contexts with rigorous quality, compliance, and traceability.

+ + + +
Guaranteed Integrity

Data You Can Trust

Grassroots Diversity

Collected from real speakers across states, socioeconomic tiers, and dialect regions, exactly where your product will be used.

Measurable Quality

5 level human-in-the-loop annotation with automated anomaly detection keeps label error rates exceptionally low.

Ethical by Design

Consent workflows that meet global standards, automated PII redaction, and contributor revenue-share models.

Enterprise-Grade Security

Air-gapped labs, ISO-27001-aligned cloud practices, and full per-file audit trails for compliance teams.

+ + + +
High Volume Corpus

Data Scarcity to Abundance

Our patented means of data production and annotation allows us to generate and label 10 Million Hours of voice data every year

Multi-lingual Datasets

  • Multilingual and code-switching Voice Datasets
  • Low Resource, Rare Language and Dialect Voice Datasets
  • Accented English Speech Dataset
  • Voice Datasets in - English, Hindi, Tamil, Marathi, Telugu, Bangla, Kannada, Malayalam, Punjabi, Oriya, Gujarati, Assamese

Multi-Speaker Datasets

  • Multiple Speaker spontaneous conversations
  • Diarized speaker stems for up to 16 speakers
  • Multi-Speaker debate datasets

Emotion Rich Data

  • Emotionally Aware and Annotated Conversations
  • Datasets covering 9 emotions - Neutral, Angry, Happy, Sad, Fear, Anxious, Surprised, Confused, Excited

Other Datasets

  • Noisy and Adverse Environment Datasets
  • Privacy Preserving Highly Personalized Voice Datasets
  • Voice Datasets for Accessibility
  • Child Speech Datasets
+ + + +
Acoustic Coverage

Two Channel Separated Conversational Voice Datasets

Large-scale, multi-topic, natural dialogues in Indian languages perfect for training ASR (Automatic Speech Recognition) models. Each dataset captures real conversational patterns, diverse accents, and natural speech variability to boost model robustness and generalisation.

Off-the-shelf volumes span tens of thousands of hours per language, with per-speaker metadata and contextual labels.

Select language for technical specifications

Hindi (हिन्दी)

Primary Script Devanagari
Off-the-shelf Volume 45,000+ Hours
Sampling Rate 48 kHz / 16-bit
Diarized Channel Separation Supported (2-16 stems)
ASR Focus

Spontaneous Dialogue

Captures real overlap, interruptions, and phonetic variation across grassroots speaker sets.

TTS Benchmark

High Fidelity Speech

Studio-clean stems optimized for custom text-to-speech synthetic generation and evaluation metrics.

Voice Of India

Linguistic Diversity

Comprehensive coverage of accented speech, code-switching dialects, and rare Indian languages.

+ + + +
Technical Pipeline

Data Curation Methodology

How we scale voice data production while maintaining zero compliance leaks and ultra-low annotation error rates.

STEP 01

Grassroots Spontaneous Capture

Spontaneous multi-topic recordings collected via our network of Training Data Specialists spanning multiple states, demographics, and local contexts.

STEP 02

Privacy-Preserving PII Redaction

Automated cloud workflows mask and redact personally identifiable information (PII) to meet global privacy compliance frameworks.

STEP 03

5-Layer Human Annotation

Rigorous multi-stage human validation paired with anomaly detection algorithms to verify transcription accuracy and metadata fidelity.

STEP 04

ISO-27001 Secure Delivery

Air-gapped labs and secure delivery infrastructure provide full per-file audit trails for enterprise compliance teams.

Build the Future of Conversational AI

Accelerate your model training and evaluations with high-fidelity, grassroots conversational datasets representing India's true voice.

Creative Human Data Labs - Regional Diverse People with Laptops