When boto3 doesn't have it (yet), you write it: a realtime speech-to-speech story in Python
The article discusses the development of a real-time speech-to-speech translation tool using AWS services. It highlights the challenges and considerations involved in creating a multilingual solution for conferences and meetups. The author contrasts their approach with Amazon's Nova 2 Sonic model, emphasizing the differences in use cases and functionalities.
- ▪The tool utilizes AWS services like Transcribe Streaming, Translate, and Polly for real-time translation.
- ▪The initial proof of concept focused on one-way translation before expanding to a more complex bidirectional setup.
- ▪The author aims to provide attendees with translated transcripts and audio in their own languages without requiring app installations.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/bilardi/when-boto3-doesnt-have-it-yet-you-write-it-a-realtime-speech-to-speech-story-in-python-4c42 |
| Publication time | Wed, 20 May 2026 22:00:07 +0000 |
| Retrieval time | 2026-05-20T22:05:03.081Z |
| Last seen | 2026-05-20T22:05:03.081Z |
| 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 | yB5u91OXsfJC |
| 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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 === 3872509) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Alessandra Bilardi Posted on May 20 • Originally published at alessandra.bilardi.net When boto3 doesn't have it (yet), you write it: a realtime speech-to-speech story in Python #aws #polly #docker #fastapi At a meetup's networking session, someone dropped: "the new speech-to-speech feature in Teams is really cool". Microsoft Teams added the interpreter agent with realtime AI-powered speech-to-speech translation during calls.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).