Google · AI / ML · Filed May 12, 2025 · USPTO published Nov 12, 2026 · This week's release

Google Files Patent for Live Meeting Translation That Keeps Your Tone of Voice

Most live translation is either fast and clumsy or accurate and late. Google's patent tries to split the difference by waiting only as long as each phrase needs, then speaking the translation in a voice that mimics the original speaker's delivery.

By Patentlyze Team · Updated Nov 12, 2026 · 3 min read

A virtual meeting setup routes speech through translation servers to deliver translated audio to participants in real time. Drawing from patent filing US 2026/0359581 A1. — A virtual meeting setup routes speech through translation servers to deliver translated audio to participants in real time.All 6 drawings ↓

Publication number: US 2026/0359581 A1(US20260359581A1)
Applicant: Google LLC
Filed · Published: May 12, 2025 · Nov 12, 2026
Inventors: Huib Victor Kleinhout, Maria Josefin Karlsson, Ryan Thomas Fedyk, Esbjörn Dominique
Status when we published: Waiting for an examiner
Document: 20 claims
US classification: 704/2
Examiner: CRESPO FEBLES, HECTOR J (Art Unit 2657)

What Google's live meeting translator actually does

Every time someone on a video call switches to a language you don't speak, you get two bad options: wait for a human interpreter, or read captions and miss how the person actually sounded. Google's patent describes a meeting tool that speaks the translation to you out loud, almost as it happens.

The interesting part is how it decides when to start talking. Translate too early and you get nonsense. The filing's example turns a German saying into "The morning hour has gold in the mouth." Wait for the whole phrase and the system can land on "The early bird gets the worm." So the tool waits only as long as it needs to.

The translated voice also copies the speaker's pacing, emphasis and tone. It plays over the original voice, which stays audible but quieter.

From the filing · CLAIM 1

… determining whether the first audio portion satisfies one or more translation sufficiency criteria; responsive to determining that the first audio portion satisfies the one or more translation sufficiency criteria, causing the first audio portion to be translated into the second language …

Translation: The system checks if a spoken segment is long enough to translate before sending it over.

How it decides when it has heard enough

The system listens to a meeting's audio in small chunks. For each chunk it asks whether there is enough to translate well. The filing calls these checks translation sufficiency criteria (rules about whether the system has heard enough to translate accurately). They include:

A word criterion: enough words to form a translatable unit
An idiom criterion: a full figure of speech, not half of one
Limits on input length, processing time and maximum delay between the original and the translation

If a chunk falls short, the system holds off, then joins it with the next chunk and checks again. The thresholds can change with the language pair. The filing says Spanish to Portuguese needs less audio than English to Russian, because those two languages share more structure.

Once a chunk passes, an AI model (software trained on many examples) turns speech in one language into speech in another. The filing says this can happen directly, with no step through written text. The output is synthesized speech that matches the original's prosody (the music of speech: volume, pitch, speed, rhythm and emphasis).

The translation plays as an overlay, louder than the original voice underneath. The speaker can also be shown options and pick a translation. The filing says participants can give or withdraw consent for translation and for voice synthesis at any time.

From the filing · THE ABSTRACT

… providing the first audio portion as input to an artificial intelligence (AI) model trained to translate speech in the first language into speech in the second language.

Translation: An artificial intelligence model then handles translating the spoken words from one language to another.

Why a slight delay beats a literal translation

If you work with colleagues, clients or family who speak another language, this describes a call where everyone talks in their own language and hears the others in theirs. Because the translation keeps the speaker's emphasis, a question still sounds like a question and a joke has a chance of sounding like one.

The filing also treats delay as something to manage. It does this by sizing the chunks it translates, filling gaps between them and letting short word-by-word translations make up for long idiom pauses. Anyone who has watched awkward silences stack up on a multilingual call will recognize the problem. The patent names no product, so any rollout is a separate question.

Google's 68th filing in the voice and speech AI work we've tracked since May builds on earlier applications like teaching new languages without retraining and noise-filtering earbuds for voice commands.

Editorial take

Every choice here costs time. Waiting for a full phrase or a sentence-ending verb before translating means the translated voice trails the speaker, and the filing treats a lag of roughly two to three seconds as acceptable. In a fast back-and-forth, that gap means people start talking over each other.

Playing the translation on top of the original voice adds a second cost: you hear two voices at once, and the quieter one still competes for your attention. A wrong sentence delivered in the speaker's own confident tone also sounds more trustworthy than it should, which raises the stakes when the translation slips.

Both costs are real, but the trade reads as worth making. A short, variable wait beats a fast literal translation that tells you the morning hour has gold in its mouth.

Source: US 2026/0359581 A1 at the USPTO (PDF). Full patent text and figures are in the official publication.

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The drawings · 6 sheets

6 drawing sheets from US 2026/0359581 A1 · click any drawing to enlarge

How meeting callers and servers connect for live translation, drawing sheet 1 from US 2026/0359581 A1 — Sheet 1 How meeting callers and servers connect for live translation

Why natural speech delays affect the accuracy of translated phrases, drawing sheet 2 from US 2026/0359581 A1 — Sheet 2 Why natural speech delays affect the accuracy of translated phrases

Breaking live audio into fixed or variable chunks for processing, drawing sheet 3 from US 2026/0359581 A1 — Sheet 3 Breaking live audio into fixed or variable chunks for processing

Deciding when enough speech is gathered to trigger a translation, drawing sheet 4 from US 2026/0359581 A1 — Sheet 4 Deciding when enough speech is gathered to trigger a translation

Generating translated speech while preserving the speaker's vocal tone, drawing sheet 5 from US 2026/0359581 A1 — Sheet 5 Generating translated speech while preserving the speaker's vocal tone

Internal computer parts that power the real-time meeting translator, drawing sheet 6 from US 2026/0359581 A1 — Sheet 6 Internal computer parts that power the real-time meeting translator

The drawings · 6 sheets

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