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Explore Shaip’s comprehensive Indic / Indian language audio datasets, including Spontaneous Dialogue, Scripted Monologue, and Spontaneous IVR. Access expertly validated, high-quality audio data for your AI applications.
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End-to-end service: Complete service with expert domain knowledge and fast delivery.
Flexible: Choose custom, semi-custom, or off-the-shelf voice datasets with flexible ownership.
Domain Expert: Hire a Specialized Domain Expert for Fast, Quality AI Datasets.
Quality: Get quality checks from industry experts.
Licensing: Get a license tailored to your needs.
Ethical Data: We ensure contributors are informed and consent to data use.
At Shaip, we provide diverse speech datasets for NLP that mimic real conversations to enhance your AI. Our expertise in Multilingual Conversational AI helps you create precise speech models. We offer multilingual audio collection, transcription, and annotation services, customized to your needs for intent, utterances, and demographics.
Scripted Speech Collection
Spontaneous Speech collection
Utterance Collection/ Wake-up Words
Automated Speech Recognition (ASR)
Transcreation
Text-to-speech (TTS)
Trains Voice Assistants in 40+ Languages for Global Reach
Shaip provided digital assistant training in 40+ languages for a major cloud-based voice service provider used with voice assistants. They required a natural voice experience so users in different countries around the world would have intuitive, natural interactions with this technology.
Problem: Acquire 20,000+ hours of unbiased data across 40 languages
Solution: 3,000+ linguists delivered quality audio/ transcripts within 30 weeks
Result: Highly trained Digital assistant models that is able to understand multiple languages
Utterances to build Multi-lingual digital assistants
Not all customers use the same words while interacting with voice assistants. Voice applications must be trained on spontaneous speech data. E.g., “Where is the closest hospital located?” “Find a hospital near me” or “Is there a hospital nearby?” all indicate the same search intent but are phrased differently.
Problem: Acquire 22,250+ hours of unbiased data across 13 languages
Solution: 7M+ Audio Utterances collected, transcribed, and delivered within 28 weeks
Result: A highly trained speech recognition model that is able to understand multiple languages
Dedicated and trained teams:
Highest process efficiency is assured with:
The patented platform offers benefits:
Empowering teams to build world-leading AI products.
Contact us now to learn how we can collect a custom data set for your unique AI solution.
Indian language datasets are collections of text, audio, and speech data in various Indian languages like Hindi, Tamil, Bengali, and Assamese, used to train AI/ML models for multilingual applications.
These datasets help AI/ML systems understand and process diverse regional languages, enabling accurate natural language processing, intent recognition, and conversational AI for multilingual users.
They provide high-quality, annotated data in multiple languages, allowing AI models to learn speech patterns, accents, and linguistic nuances, which improves the performance of voice assistants, chatbots, and other conversational AI systems.
Datasets include languages like Hindi, Tamil, Bengali, Kannada, Punjabi, and more. They feature speech data for use cases like call centers, podcasts, text-to-speech, and automated speech recognition.
Indian language datasets are used to train voice assistants, enhance text-to-speech systems, improve automated speech recognition, and support multilingual applications in industries like healthcare, e-commerce, and customer service.
Scripted speech data is pre-written and read aloud, ensuring consistency, while spontaneous speech captures natural conversations, providing more realistic data for training AI systems.
Yes, datasets can be tailored to meet specific requirements like language, accents, demographics, or use cases, ensuring they align with unique project needs.
All datasets are collected with informed consent and adhere to global privacy regulations like GDPR, ensuring ethical and secure data handling.
Timelines depend on project size and complexity but are structured to ensure fast and efficient delivery.
Quality is maintained through expert annotators, rigorous validation processes, and industry-standard quality assurance measures.
Costs vary based on language, dataset size, customization, and project requirements. Contact for a personalized quote.