Voice + Intelligence: Time for Indian enterprises to tap into this potential

Voice + Intelligence: Time for Indian enterprises to tap into this potential

“Your voice may be more valuable than you think,” (Your Voice May Be More Valuable Than You Think | Chicago Booth Review), says Nicholas Epley, John Templeton Keller Distinguished Service Professor of Behavioral Science and Neubauer Family Faculty Fellow. This statement resonates strongly in India that thrives on linguistic diversity. With over 1,600 spoken languages and countless dialects, voice is an integral part of the digital transformation strategy that enterprises in India can’t ignore any more.

Now, let’s take this analogy into the realm of enterprises, where the focus is often on productivity. The real drivers of non-productivity often lie hidden in routine tasks that we take for granted. One such task that is often overlooked but has a significant impact is typing.

For most Indians, English is not their natural language of communication. So, capturing voice in Indic languages is a game changer. Enterprises can easily learn what their customers or employees are saying by encourage them to speak in their native language.

The Complexities of Indic Languages

Indian languages are rich and intricate, with unique scripts, phonetics, and grammatical rules. We love to switch between languages. English to mother tongue or hindi. This is the tadka that adds flavor to the conversations. Capturing these nuances requires advanced models capable of contextual understanding.

Why Gemini Pro: It understands Indic languages better

We had to make a choice between building an in-house Automatic Speech Recognition (ASR) model or leveraging existing solutions. We evaluated various models extensively. Google’s Gemini Pro stood out as the best option for transcribing Indic languages with very high precision.

• Contextual understanding: Accurately interprets context and nuanced phrases
• Accent adaptability: Manages India’s diverse accents and intonation
• Noise resilience: Excels in noisy environments, delivering clear transcriptions
• Seamless language switching: Effectively transcribes mixed-language content, reflecting the natural flow of multilingual conversations

Intelligence to make decisions

Natural intelligence or artificial general intelligence (AGI)?

My favorite example: "How many buckets of water are in the Pacific Ocean?"

Response form ChatGPTo1- There are approximately 7.14× (10)22 buckets of water in the Pacific Ocean, assuming each bucket holds 10 liters.

The answer: Depends on the size of the bucket

There are somethings that LLMs can do better than us. There are crucial things that we do better than LLMs- use our intelligence. We believe in balancing this understanding to build systems that deliver the essential intelligence required for enterprises to make decisions.