Shipping Gemma 4 speech recognition in a Windows .NET desktop app: a 5-variant model-selection tour
Maksim Demin has developed a voice-to-text desktop application called Parlotype using Gemma 4 speech recognition technology. The application allows users to dictate text directly into any app while ensuring that all processing occurs locally on their machine. The article discusses the selection of the best model variant from five available options to optimize performance and user experience.
- ▪Parlotype is built with .NET 10 and Avalonia UI, allowing for local speech recognition without cloud dependency.
- ▪Gemma 4 was released by Google in April 2026 and offers competitive performance compared to existing models like Whisper.
- ▪The application features a model selector that lets users choose between different variants of Gemma 4 based on their needs.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/mdemin729/shipping-gemma-4-speech-recognition-in-a-windows-net-desktop-app-a-5-variant-model-selection-tour-2l8i |
| Publication time | Sun, 24 May 2026 03:51:31 +0000 |
| Retrieval time | 2026-05-24T04:07:30.828Z |
| Last seen | 2026-05-24T04:07:30.828Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | gqGKjtiyxD37 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3910746) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Maksim Demin Posted on May 24 Shipping Gemma 4 speech recognition in a Windows .NET desktop app: a 5-variant model-selection tour #devchallenge #gemmachallenge #gemma #dotnet Gemma 4 Challenge: Build With Gemma 4 Submission This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built Parlotype is a voice-to-text desktop app for Windows. It is built with .NET 10 and Avalonia UI. You hold a global hotkey, speak, then release it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).