Nvidia · Filed Jul 8, 2026 · Published Oct 29, 2026

Nvidia Files Patent to Read Your Texts Aloud in the Sender's Own Voice

Your phone reads texts aloud in one flat, generic voice. Nvidia's filing describes a version that speaks each message in a voice resembling whoever wrote it.

A text message sent alongside a digital voice sample, allowing the receiving phone to read the text in the sender's voice. Drawing from patent filing US 2026/0341269 A1.
A text message sent alongside a digital voice sample, allowing the receiving phone to read the text in the sender's voice.
See all 55 drawings from this filing ↓
Publication number US 2026/0341269 A1 US20260341269A1
Applicant NVIDIA Corporation
Filing date Jul 8, 2026
Publication date Oct 29, 2026
Inventors Boris Ginsburg
US classification 704/260
Status when we published Waiting for an examiner (Jul 24, 2026)
Parent application is a Continuation of 17690810 (filed 2022-03-09)
Document 1 claims

What Nvidia's voice-matched text reader does

When your phone or car reads a text out loud today, it uses one generic voice for everybody. Your mom, your boss and a delivery notice all sound the same. Nvidia's filing describes a way to read each message in a voice that resembles the person who wrote it.

Here is the idea. Your phone listens to you talk, for example during phone calls, and boils your voice down to a compact set of numbers covering things like pitch, speed and accent. That voice profile travels with your message, or gets saved in the recipient's contacts. When your friend gets your text, their device combines your words with your profile and speaks the message in a voice that sounds like yours.

The filing also covers reading messages aloud in a different language, and playing them through a car's speaker while you drive.

From the filing · CLAIM 1
… generate, using the one or more neural networks, a synthetic speech recording based on an electronic message, wherein audio properties of the synthetic speech correspond to the plurality of vectors representing the one or more properties of the user's voice.

Translation: AI turns a text message into spoken audio that matches a specific person's vocal traits.

How a short voice profile shapes the speech

Claim 1 covers a processor that, when software asks for it through an API call (a standard request one program makes to another), does two things with neural networks (software trained on examples to spot patterns). First, it produces several lists of numbers, called vectors, of different lengths that describe features of a person's voice. Second, it generates a synthetic speech recording of an electronic message whose sound matches those vectors.

The description fills in the setup. The sender's device builds the voice profile from samples of speech, with examples of 1 to 10 minutes of audio gathered from phone calls, video calls or reading prompts. From there:

  • The profile can ride along with the message as metadata (behind-the-scenes label data), or be sent separately.
  • The receiving device can store it in a contact list under the sender's identifier.
  • A multi-speaker text-to-speech model (software that can talk in many different voices) takes the text plus the profile and produces the audio.

The filing also describes encrypting the profile with keys that expire, translating the text into another language first (English to German is the example), and converting text like '3:45' into spoken form. The profile types it names are d-vectors, x-vectors and i-vectors, which are different ways of boiling a voice down to numbers. Those numbers can also be used to identify a speaker.

From the filing · THE ABSTRACT
Apparatuses, systems, and techniques to translate an electronic message into speech.

Translation: Hardware and software methods convert typed messages into spoken words.

Why texts read aloud could sound like the sender

The practical upside is for messages you hear instead of read, such as while you drive or cook. They could sound like the people who wrote them, so you can tell by ear whether a text is from your sister or your boss. The filing specifically mentions a phone passing a text to a car's speaker while the vehicle is in motion.

The catch is that a voice profile works as a voice fingerprint. The filing notes a vector like this can verify who is speaking, which is why it describes encrypting the profile, limiting it to one use or a time window, and using privacy settings to control who can access it. How well those controls work would matter a lot in any real product.

This is the 24th Nvidia filing in our voice and speech AI coverage since May, following one on fixing 'NVIDIA' mishearing and one on stopping face glitches.

Editorial take

Claim 1 is short and wide. It covers a processor that, when another program asks through an API call, builds sets of numbers describing someone's voice and then produces a spoken recording of a message matching those numbers.

Look at what the claim leaves out. Nothing in it mentions texting, sending the profile along with a message, encryption, contact lists or cars. Those details live only in the description. As written, the claim describes any chip that turns written words into speech shaped by a person's voice profile, whoever the message came from.

The odd phrase is 'vectors of varying dimensionalities,' meaning number lists of different lengths. The description talks about a single fixed-length profile (one example has 500 numbers), so that wording is the part of the claim most likely to narrow it. The broad reading still carries the story: a chip-level claim on speaking in a person's voice.

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The drawings

55 drawing sheets from US 2026/0341269 A1 · click any drawing to enlarge

Sending a text message bundled with the sender's voice data, drawing sheet 1 from US 2026/0341269 A1
Sheet 1 Sending a text message bundled with the sender's voice data
Phone parts that record voice and send text, drawing sheet 2 from US 2026/0341269 A1
Sheet 2 Phone parts that record voice and send text
Parts of the receiving phone that speak the text aloud, drawing sheet 3 from US 2026/0341269 A1
Sheet 3 Parts of the receiving phone that speak the text aloud
How the sender's phone encrypts and shares your vocal profile, drawing sheet 4 from US 2026/0341269 A1
Sheet 4 How the sender's phone encrypts and shares your vocal profile
How the receiving phone turns text into speech, drawing sheet 5 from US 2026/0341269 A1
Sheet 5 How the receiving phone turns text into speech
Hardware setups for running the voice AI chip, drawing sheet 6 from US 2026/0341269 A1
Sheet 6 Hardware setups for running the voice AI chip
Teaching the neural network to synthesize realistic voices, drawing sheet 7 from US 2026/0341269 A1
Sheet 7 Teaching the neural network to synthesize realistic voices
Cloud data center layout that coordinates voice processing jobs, drawing sheet 8 from US 2026/0341269 A1
Sheet 8 Cloud data center layout that coordinates voice processing jobs
Show the other 47 sheets
Sensors placed around a self-driving car to track its surroundings, drawing sheet 9 from US 2026/0341269 A1
Sheet 9 Sensors placed around a self-driving car to track its surroundings
Overlapping camera views that cover every angle around the vehicle, drawing sheet 10 from US 2026/0341269 A1
Sheet 10 Overlapping camera views that cover every angle around the vehicle
Car chips that process sensor data and driving commands, drawing sheet 11 from US 2026/0341269 A1
Sheet 11 Car chips that process sensor data and driving commands
Cloud servers that update maps and train driving AI, drawing sheet 12 from US 2026/0341269 A1
Sheet 12 Cloud servers that update maps and train driving AI
Standard desktop computer parts linked together through central hubs, drawing sheet 13 from US 2026/0341269 A1
Sheet 13 Standard desktop computer parts linked together through central hubs
Mobile device layout connecting touchscreens, audio parts, and sensors, drawing sheet 14 from US 2026/0341269 A1
Sheet 14 Mobile device layout connecting touchscreens, audio parts, and sensors
Interconnected graphics chips sharing memory to accelerate heavy workloads, drawing sheet 15 from US 2026/0341269 A1
Sheet 15 Interconnected graphics chips sharing memory to accelerate heavy workloads
Portable USB drive carrying dedicated AI processing hardware, drawing sheet 16 from US 2026/0341269 A1
Sheet 16 Portable USB drive carrying dedicated AI processing hardware
Connecting multiple graphics chips to main processors, drawing sheet 17 from US 2026/0341269 A1
Sheet 17 Connecting multiple graphics chips to main processors
How an accelerator links directly to computer memory, drawing sheet 18 from US 2026/0341269 A1
Sheet 18 How an accelerator links directly to computer memory
Integrating the accelerator directly onto the main processor, drawing sheet 19 from US 2026/0341269 A1
Sheet 19 Integrating the accelerator directly onto the main processor
Managing graphics tasks through shared memory addresses, drawing sheet 20 from US 2026/0341269 A1
Sheet 20 Managing graphics tasks through shared memory addresses
Virtualized memory management for graphics acceleration, drawing sheet 21 from US 2026/0341269 A1
Sheet 21 Virtualized memory management for graphics acceleration
Combining processor and graphics memory into one pool, drawing sheet 22 from US 2026/0341269 A1
Sheet 22 Combining processor and graphics memory into one pool
All-in-one chip that powers portable multimedia devices, drawing sheet 23 from US 2026/0341269 A1
Sheet 23 All-in-one chip that powers portable multimedia devices
Graphics chip core for parallel visual processing, drawing sheet 24 from US 2026/0341269 A1
Sheet 24 Graphics chip core for parallel visual processing
Multiple processing cores share memory to run voice models, drawing sheet 25 from US 2026/0341269 A1
Sheet 25 Multiple processing cores share memory to run voice models
Specialized computing blocks execute speech tasks side by side, drawing sheet 26 from US 2026/0341269 A1
Sheet 26 Specialized computing blocks execute speech tasks side by side
Clustered processing units share memory to speed up AI speech, drawing sheet 27 from US 2026/0341269 A1
Sheet 27 Clustered processing units share memory to speed up AI speech
Hardware parts that connect processors, displays, and storage, drawing sheet 28 from US 2026/0341269 A1
Sheet 28 Hardware parts that connect processors, displays, and storage
Stacked memory and processor groups handle heavy AI workloads, drawing sheet 29 from US 2026/0341269 A1
Sheet 29 Stacked memory and processor groups handle heavy AI workloads
Memory buffers route fast data streams across the chip, drawing sheet 30 from US 2026/0341269 A1
Sheet 30 Memory buffers route fast data streams across the chip
Grouped chip units organize and direct incoming audio data, drawing sheet 31 from US 2026/0341269 A1
Sheet 31 Grouped chip units organize and direct incoming audio data
Inside a processor that turns message text into spoken audio, drawing sheet 32 from US 2026/0341269 A1
Sheet 32 Inside a processor that turns message text into spoken audio
Connecting multiple AI chips directly together to share heavy workloads, drawing sheet 33 from US 2026/0341269 A1
Sheet 33 Connecting multiple AI chips directly together to share heavy workloads
The graphics chip parts that run voice and video, drawing sheet 34 from US 2026/0341269 A1
Sheet 34 The graphics chip parts that run voice and video
How a central processor schedules quick calculations out of order, drawing sheet 35 from US 2026/0341269 A1
Sheet 35 How a central processor schedules quick calculations out of order
Specialized deep learning chip packed with processing clusters and memory, drawing sheet 36 from US 2026/0341269 A1
Sheet 36 Specialized deep learning chip packed with processing clusters and memory
Brain-inspired chip network passing signals across artificial neurons, drawing sheet 37 from US 2026/0341269 A1
Sheet 37 Brain-inspired chip network passing signals across artificial neurons
Hardware parts inside a personal device running the voice assistant, drawing sheet 38 from US 2026/0341269 A1
Sheet 38 Hardware parts inside a personal device running the voice assistant
Processor layout linking computing cores with on-chip graphics, drawing sheet 39 from US 2026/0341269 A1
Sheet 39 Processor layout linking computing cores with on-chip graphics
Media and display engines inside an integrated graphics processor, drawing sheet 40 from US 2026/0341269 A1
Sheet 40 Media and display engines inside an integrated graphics processor
Internal graphics chip parts that process speech commands, drawing sheet 41 from US 2026/0341269 A1
Sheet 41 Internal graphics chip parts that process speech commands
A graphics chip layout split into multiple smaller compute clusters, drawing sheet 42 from US 2026/0341269 A1
Sheet 42 A graphics chip layout split into multiple smaller compute clusters
Specialized circuits that handle parallel computing tasks on a chip, drawing sheet 43 from US 2026/0341269 A1
Sheet 43 Specialized circuits that handle parallel computing tasks on a chip
Calculation hardware that rapidly crunches voice synthesis data, drawing sheet 44 from US 2026/0341269 A1
Sheet 44 Calculation hardware that rapidly crunches voice synthesis data
Main processor components that coordinate speech tasks with memory, drawing sheet 45 from US 2026/0341269 A1
Sheet 45 Main processor components that coordinate speech tasks with memory
Clustered processing units that calculate audio models in parallel, drawing sheet 46 from US 2026/0341269 A1
Sheet 46 Clustered processing units that calculate audio models in parallel
How fast memory moves data between chip cores, drawing sheet 47 from US 2026/0341269 A1
Sheet 47 How fast memory moves data between chip cores
Multiple processing cores scheduled to work on voice generation tasks, drawing sheet 48 from US 2026/0341269 A1
Sheet 48 Multiple processing cores scheduled to work on voice generation tasks
Training medical AI models and delivering them to clinics, drawing sheet 49 from US 2026/0341269 A1
Sheet 49 Training medical AI models and delivering them to clinics
Cloud servers and chips that run hospital AI services, drawing sheet 50 from US 2026/0341269 A1
Sheet 50 Cloud servers and chips that run hospital AI services
How AI analyzes CT scans to map out organs, drawing sheet 51 from US 2026/0341269 A1
Sheet 51 How AI analyzes CT scans to map out organs
Software that cleans and displays real-time ultrasound video, drawing sheet 52 from US 2026/0341269 A1
Sheet 52 Software that cleans and displays real-time ultrasound video
Automated scanner checks that adjust for patient motion, drawing sheet 53 from US 2026/0341269 A1
Sheet 53 Automated scanner checks that adjust for patient motion
Using specialist feedback to improve a clinic's AI accuracy, drawing sheet 54 from US 2026/0341269 A1
Sheet 54 Using specialist feedback to improve a clinic's AI accuracy
Labeling raw medical scans with help from assistant servers, drawing sheet 55 from US 2026/0341269 A1
Sheet 55 Labeling raw medical scans with help from assistant servers
Browse all the drawings 55 drawing sheets
Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.
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