Audio Collection

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Training Data for Speech Recognition: A Practical Guide for B2B AI Teams

Artificial Intelligence, Audio Collection, Conversational AI, Data Collection, Shaip Blogs, Speech Data Collection

If you’re building voice interfaces, transcription, or multimodal agents, your model’s ceiling is set by your data. In speech recognition (ASR), that means collecting diverse, well-labeled audio that mirrors real-world users, devices, and environments—and evaluating it with discipline. This guide shows you exactly how to plan, collect, curate, and evaluate speech training data so you […]

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Project Vaani: Shaip’s Role in Shaping Multilingual AI for India

Artificial Intelligence, Audio Collection, Data Collection, Shaip Blogs, Speech Data Collection, Speech Recognition

In a country as culturally diverse and linguistically rich as India, building inclusive AI begins with collecting representative, high-quality datasets. That’s the vision behind Project Vaani—a large-scale, open-source initiative led by ARTPARK, IISc Bengaluru, and Google, aiming to give voice to every Indian language and dialect. The ambitious goal? To collect 150,000+ hours of speech

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The True Cost of AI Training Data: How to Budget Effectively for High-Quality Datasets

Artificial Intelligence, Audio Collection, Data Collection, Healthcare AI, Image Collection, Shaip Blogs, Text Collection, Video Collection

Developing Artificial Intelligence (AI) systems is a complex and resource-intensive process. From sourcing data to training models, the journey involves numerous challenges that can significantly impact both costs and timelines. A well-planned budget for AI training data is critical to ensure the success of your AI initiatives, both in terms of functionality and return on

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What Are Small Language Models? Real World Example and Training Data

ai training data, Artificial Intelligence, Audio Collection, Conversational AI, Data Collection, Shaip Blogs

They say great things come in small packages and perhaps, Small Language Models (SLMs) are perfect examples of this. Whenever we talk about AI and language models mimicking human communication and interaction, we immediately tend to think of Large Language Models (LLMs) like GPT3 or GPT4. However, at the other end of the spectrum lies

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