In the heart of Bangalore, a customer service representative struggles to explain complex banking terms to a Tamil speaking customer, while in a small town in Gujarat, a patient misunderstands crucial medication instructions due to language barriers. Across India, businesses lose millions in potential revenue and trust every day, not because of what they're saying, but how they're saying it.

The culprit? Outdated Text-to-Speech (TTS) technology that fails to capture the essence of how Indians truly communicate.

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Imagine a world where:
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• Your banking app speaks to you in fluent Hinglish, seamlessly blending Hindi and English just like your local bank teller.

• Healthcare hotlines pronounce medical terms accurately in Bengali, ensuring critical health information is never lost in translation.

• E-commerce platforms describe products in Tamil with the same enthusiasm and nuance as a local shopkeeper.
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This isn't a distant future. With the latest advancements in language technology, it is happening now!

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Announcing the launch of Bulbul v1 - our best-in-class code-mixed, multi-lingual text-to-speech model. Now available in 10+ languages!

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Meet the Voices of Bulbul v1

Bulbul v1 comes with six distinct voices, each designed to cater to a wide range of communication needs across various industries and contexts:

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While these distinct voices offer a range of personalities to suit different needs, what's truly revolutionary about Bulbul v1 is its ability to maintain a consistent voice across multiple languages. Imagine Meera explaining complex financial products in Hindi, English, Tamil, and Bengali – all with the same professional tone and personality. This consistency in voice across languages allows businesses to maintain continuity while communicating effectively with diverse linguistic communities.

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But how did we achieve this level of linguistic dexterity and intelligence? Let's dive into the innovative approach we took in training Bulbul...

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How we trained Bulbul?

For training Bulbul, we focused on the following aspects:

1. Multilingual Efficiency : We opted for a single, compact model with multilingual capabilities, enabling contextual learning transfer across languages.

2. Indian Context Mastery : Bulbul is trained on diverse vocabulary tailored to the Indian context, excelling at code-mixed language, domain-specific terms, local names, and special entities.‍‍

3. Prosody Control :  We engineered a pitch and pace-aware model, allowing for controllable prosody to suit various speech contexts.

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Data: Our training data combines high-quality, diverse audio from multiple speakers and languages. We applied strict quality checks and incorporated vocabulary from various domains, including code-mixed inputs, proper nouns, and abbreviations. Voice selection focused on both professional and conversational tones to cover a wide range of use cases.

Model Training: Bulbul is designed for low latency and multilingual capabilities. The architecture enables real-time prosody adjustments and implements cross-lingual transfer learning. This allows voices trained in one language to perform well in others, enhancing the model's versatility across diverse applications.

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What can you build with Bulbul?

1. Rich & reliable conversational experiences

In real life customer-facing scenarios, what businesses often need is ability to have a voice that represents their brand reliably, effectively, and consistently. While the text to speech technology has seen rapid improvements on the more human sounding speech synthesis side; what has been a missing focus from the dialogue is the need for colloquial delivery of the content itself. To truly bridge the gap between brands and their consumers, the TTS capability need to speak the language of users, pronounce domain specific terms and entity names accurately, and not trip over special entities like dates, currency symbols, abbreviations etc. With Bulbul, like all our other models, we took a very application and consumer first philosophy so it can be reliably used across workflows by enterprises.

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2. Media and Education

In media and education, the text to speech technology requires ability to handle various accents, emotions, and complex narratives while maintaining clarity and engagement for a large, and fairly diverse set of audience

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3. News and Entertainment

News broadcasting require clear pronunciation of names, places, acronyms and abbreviations, while making the content sound engaging. Typically, news is also delivered at a faster pace. Bulbul allows pace and pitch modulation for all voices across languages. So you can really configure and personalise your content delivery per your application.
On the other hand, cultural and fun applications require an understanding of regional nuances, appropriate emotional tones, and the ability to handle specialized vocabulary in the language people speak and consume content in.

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4. Accessibility and Information Services

Accessibility services require clear enunciation, appropriate pacing, and the ability to convey visual information through audio effectively. The ability to be able to pronounce complex location names, communicate directions, and spell out numerals effectively can enable customers building these applications to really personalize these experiences for India's colloquial audience.

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Conclusion

Bulbul v1 represents a significant leap forward in Text-to-Speech technology for India's diverse linguistic landscape. By embracing code-mixing, regional nuances, and domain-specific intelligence, we've created a tool that doesn't just speak to India, but speaks as India. From powering natural customer interactions and delivering engaging content to enabling fun, culturally-relevant applications, Bulbul opens up a world of possibilities for businesses across sectors. Our commitment goes beyond technology – we're dedicated to bridging communication gaps and fostering deeper connections between businesses and the 1.4 billion voices of India. With Bulbul v1, we invite you to join us in transforming how India communicates, one conversation at a time.

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