Microsoft patents voice ID that works across different recording speeds
Microsoft has filed a patent for a method that compares two recordings of a person's voice even if they were captured at different technical settings. The system uses a machine learning model to adjust one voice recording so it matches the format of the other, allowing them to be compared accurately. This process generates a score that estimates the likelihood that both voices belong to the same individual.
In the filing’s own words
There is provided a method that includes (a) obtaining a first voice vector that was derived from a signal of a voice that was sampled at a first sampling frequency, (b) obtaining a second voice vector that was derived from a signal of a voice that was sampled at a second sampling frequency, (c) mapping the second voice vector into a mapped voice vector in accordance with a machine learning model, and (d) comparing the first voice vector to the mapped voice vector to yield a score that indicates a probability that the first voice vector and the second voice vector originated from a same person.
What exactly they claim (claim 1)
1. (canceled)
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- FREQUENCY MAPPING IN THE VOICEPRINT DOMAIN
- Publication number
- US20260321267A1
- Application number
- 19720535
- Filed
- Jun 25, 2026
- Published
- Oct 15, 2026
- Inventors
- 4
- Claims
- 22
Classified under
G10L 17/18 Physics & computingG06N 3/047 Physics & computingG10L 17/00 Physics & computingG10L 17/04 Physics & computingG10L 17/20 Physics & computingMore from Microsoft in Audio & voice
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.