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Imagine asking a voice assistant to summarize a long meeting, translate it into Spanish, and push the action items into your CRM—all from a single voice note. Behind that “magic” is not just a powerful model like Whisper or an LLM like Gemini or ChatGPT. It’s the speech recognition datasets used to train and fine-tune […]
Choosing the Right Speech Recognition Dataset for Your AI Model Read More »
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
Training Data for Speech Recognition: A Practical Guide for B2B AI Teams Read More »
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
Project Vaani: Shaip’s Role in Shaping Multilingual AI for India Read More »
Imagine asking a voice assistant to summarize a long meeting, translate it into Spanish, and push the action items into your CRM—all from a single voice note. Behind that “magic” is not just a powerful model like Whisper or an LLM like Gemini or ChatGPT. It’s the speech recognition datasets used to train and fine-tune
Choosing the Right Speech Recognition Dataset for Your AI Model Read More »
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
Training Data for Speech Recognition: A Practical Guide for B2B AI Teams Read More »
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
Project Vaani: Shaip’s Role in Shaping Multilingual AI for India Read More »
Imagine conversing with your smartphone, listening to your favorite articles read aloud while driving, or learning a new language with perfect pronunciation—all without human intervention. This is the magic of Text-to-Speech (TTS) technology. Companies are also heavily investing in TTS, especially after the AI boom. The TTS market was valued at $3.2 billion in 2023
What is Text-to-Speech? – TTS Explained Read More »
