---
title: "Comment by Kartik N V J K on \"Switch-Point Prosody: Why AI Voices Break Where Pakistani Ads Switch Languages\" | Hashnode"
description: "The 51.9 Hz versus 29.8 Hz pitch variability number is a good anchor for why a monolingual TTS voice goes flat right at \"order now\". I've heard the same stumble"
url: "https://hashnode.com/posts/switch-point-prosody-why-ai-voices-break-where-pakistani-ads-switch-languages/6acf1b1715a1562b13dfa104/comment/6acfaeb9eb1f8b8231eb445b"
---

[Discussion](https://hashnode.com/posts/switch-point-prosody-why-ai-voices-break-where-pakistani-ads-switch-languages/6acf1b1715a1562b13dfa104)

Comment [Switch-Point Prosody: Why AI Voices Break Where Pakistani Ads Switch Languages](https://hashnode.com/posts/switch-point-prosody-why-ai-voices-break-where-pakistani-ads-switch-languages/6acf1b1715a1562b13dfa104)

[Kartik N V J K](https://hashnode.com/@kartik-nvj)

[Oct 14](https://hashnode.com/posts/switch-point-prosody-why-ai-voices-break-where-pakistani-ads-switch-languages/6acf1b1715a1562b13dfa104/comment/6acfaeb9eb1f8b8231eb445b)

The 51.9 Hz versus 29.8 Hz pitch variability number is a good anchor for why a monolingual TTS voice goes flat right at "order now". I've heard the same stumble on Hindi-English lines, where the stress lands on the English word like it starts a new sentence. Are you planning to release the 50-script annotated corpus alongside the ABX results?

[Muhammad Usman SU92-BSAIM-F25-025](https://hashnode.com/@usmankalera)

[Oct 14](https://hashnode.com/posts/switch-point-prosody-why-ai-voices-break-where-pakistani-ads-switch-languages/6acf1b1715a1562b13dfa104/comment/6acfaeb9eb1f8b8231eb445b#reply-6acfb25523d02437c62d2e4d)

Thank you, Kartik! Glad the Hindi-English parallel resonates — the stress-reset pattern you describe matches exactly what we measured at Urdu-English switch points. Honest answer on the corpus: it doesn't exist yet — the paper is a proposal with a 3-phase protocol; the 50-script annotated corpus gets built in Phase 1 and ABX testing runs in Phase 2. But yes, the plan is to release it openly (CC BY) alongside the ABX results so others can replicate and extend to Hindi-English and beyond. Would love to compare notes if you're working on Hindi-English TTS!
