# Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI

DevFeed: [Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI](<https://devfeed.tech/articles/personalize-your-product-s-text-to-speech-voice-for-any-language-fine-tuning-with-kubeflow-trainer-on-red-hat-openshift-ai-12350.md>)

Original publisher: [Read original article](<https://developers.redhat.com/articles/2026/09/09/text-to-speech-for-any-language-fine-tuning-with-kubeflow-trainer-on-red-hat-openshift-ai>)

Author: Dmytro Hryshchenko, Abhijeet Dhumal

Published: 2026-09-09T03:32:28Z

Content type: tutorial

Language: en

Sources: [Red Hat](<https://devfeed.tech/sources/red-hat.md>), [Red Hat Developer](<https://devfeed.tech/sources/red-hat-developer.md>)

Topics: [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [distributed-training](<https://devfeed.tech/topics/distributed-training.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [lora](<https://devfeed.tech/topics/lora.md>), [data](<https://devfeed.tech/topics/data.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [distributed-training](<https://devfeed.tech/tags/distributed-training.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [lora](<https://devfeed.tech/tags/lora.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [speech](<https://devfeed.tech/tags/speech.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [training](<https://devfeed.tech/tags/training.md>), [voice](<https://devfeed.tech/tags/voice.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

This tutorial explains how to fine-tune the open source Orpheus-3B text-to-speech model for Turkish using Red Hat OpenShift AI and Kubeflow Trainer. It describes packaging distributed training in a TrainJob, scaling across nodes and GPUs, and using LoRA to keep memory usage below 16 GB. The reported result reduces speech errors by more than 90% compared with the base model.

## Source excerpt

Can't Read, Won't Buy. That is the title CSA Research gave its survey of 8,709 consumers across 29 countries, and the numbers justify it: 76% prefer to buy in their own language, and 40% will never buy in another. The same rule governs what your product says out loud. The post Personalize your product's text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI appeared first on Red Hat Developer.