Infrastructure
for Voice AI in India
Research Grade Datasets and Evaluations for top AI Labs and Tech companies across the world
Infrastructure
for Voice AI in India
Research Grade Datasets and Evaluations for top AI Labs and Tech companies across the world
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
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.
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
Channel Separated Conversational Audio Datasets
Train your AI models using data from the grassroots of India through Josh Talks’ network of Training Data Specialists
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
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.
Languages include
– English, Hindi, Bengali, Kannada, Tamil, Telugu, Marathi, Punjabi, Malayalam, Gujarati, Assamese, Oriya, and many more.
Off-the-shelf volumes span tens of thousands of hours per language, with per-speaker metadata and contextual labels.
Customers across our portfolio of products
