Gnani AI Launches Timbre v3.0 With Expressive Controls for Multilingual Speech Across Indian Languages

Gnani AI Introduces Advanced Voice Control Features

Bengaluru-based Gnani AI launched Timbre v3.0 on October 14, marking a significant advancement in expressive AI speech technology for Indian languages1

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. This multilingual speech model enables businesses and content creators to exercise precise control over AI voice parameters, including pace, pauses and expression during delivery2

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. Built entirely in-house, the text-to-speech model converts written content into natural speech synthesis across nine Indian languages—Hindi, Bengali, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Tamil and Telugu—plus Indian-accented English1

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Expressive Controls Through Audio Tags

Timbre v3.0 introduces audio tags that function as short instructions embedded within text, giving users unprecedented control over how each line sounds2

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. Users can direct voices to whisper, laugh, giggle, sigh or shout at specific points, add deliberate pauses or adjust speaking speed to match the content's emotional requirements1

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. The model also supports non-verbal sounds including coughs, sniffles, yawns and exhales, providing storytellers and content teams additional tools to shape performances2

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. These controls work consistently across all supported Indian languages. When users don't provide explicit instructions, the model automatically adapts delivery based on the text's meaning, tone and punctuation1

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Enterprise Applications and Text Normalization

For enterprise applications, Gnani AI emphasizes the model's text normalization capabilities, which convert written numbers, dates, currencies and abbreviations into clear spoken language1

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. This feature proves critical in financial services, where distinguishing between amounts that need reading as sums versus account digits requiring individual pronunciation matters significantly. For example, voice agents can accurately communicate complex information like "Your EMI of ₹12,500.50 for loan account ending 4092 is due on 15/10/2026, at an annual interest rate of 8.75%"2

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. "Building speech AI for India means paying attention to how people actually speak and listen," explained Bharath Shankar, Chief Product and Engineering Officer at Gnani AI1

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. Today, over 1 lakh hours of voice calls are powered by Timbre2

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Real-Time Performance and Multilingual Consistency

Timbre v3.0 achieves sub-200ms audio generation, producing first audio in under 200 milliseconds and beginning playback before completing the entire output1

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. This real-time responsiveness makes it suitable for live customer conversations through IVR systems and voice agents2

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. The unified multilingual model preserves a voice's character as it switches between languages, helping businesses maintain recognizable brand voices across regions2

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. The model offers multiple prebuilt male and female voices, each retaining distinct characteristics when transitioning between supported languages1

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Diverse Use Cases Across Sectors

Gnani AI targets applications spanning customer support, identity verification, onboarding, insurance renewals and appointment reminders across financial services, healthcare and telecommunications1

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. Beyond business communications, the technology supports content creation including audiobooks, video voiceovers, audio articles, e-learning applications and accessibility tools that read content aloud in listeners' preferred languages2

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. The model's long-form synthesis capability handles extended narration without breaks, providing flexibility for use across phone systems, applications and digital content2

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. Watch how businesses leverage these expressive controls to differentiate customer experiences and whether similar multilingual capabilities emerge from competitors targeting India's diverse linguistic landscape.