Hindi AI voice generator and voice cloning

A short Hindi passage generated from Devanagari text.

• Reference clips for Hindi are capped at 12 seconds. That is a model constraint, not a storage one: the Hindi model conditions on the reference transcript as well as the audio, and a clip that overruns the cap makes generations repeat or babble.
• English words written in Latin script inside Hindi text are converted to Devanagari before generation. Left alone, they are dropped rather than mispronounced — the failure is silent, which is why the preprocessing step exists.
• The Devanagari full stop (danda, ।) is treated as a sentence boundary when long text is split into chunks, so long-form Hindi narration does not break mid-clause.

These are the exact prompts Mayantar shows you in the recorder. Each one is timed to land inside the 12-second limit at a natural pace, and each covers something cloning models need: relaxed conversational prosody, spoken digits and dates, and a question with rising intonation. Read one aloud in a quiet room and you have a usable reference clip.

1. नमस्ते, यह मेरी आवाज़ है और मैं आज एक छोटा सा नमूना रिकॉर्ड कर रहा हूँ। मुझे किताबें पढ़ना अच्छा लगता है।
2. चलिए कुछ संख्याएँ बोलते हैं: 1, 2, 3, 4 और 5। मेरी मीटिंग सुबह 9:30 बजे, 15 मार्च को है।
3. क्या आपने कभी सोचा है कि एक साधारण रिकॉर्डिंग किसी की आवाज़ को कैसे पकड़ लेती है? मुझे यह बहुत दिलचस्प लगता है।

More detail on what makes a clip pass or fail is in our guide to recording a reference clip.