Amazon patents system to find positive moments in audio conversations
Amazon describes a system that splits recorded audio into small segments and uses machine learning to check the tone of each part. If a segment sounds positive, the system converts it to text and identifies the specific topic being discussed to flag it as a 'hotspot'.
In the filing’s own words
A system may include machine learning models. A system may receive audio information representing an utterance of a conversation session. A system may divide the audio information into a plurality of audio portions. A system may evaluate a first audio portion using a tone-based sentiment analysis model to generate sentiment probabilities. A system may determine a first positive sentiment probability exceeds a threshold. A system may generate a textual representation of the first audio portion. A system may evaluate the textual representation using a topic identification model to generate a topic result indicating a topic. A system may evaluate a second audio portion using the tone-based sentiment analysis model to generate second sentiment probabilities. A system may determine a second positive sentiment probability does not exceed the threshold.
What exactly they claim (claim 1)
1. (canceled)
Facts
- Company
- Amazon (Amazon Technologies, Inc.)
- Official title
- SENTIMENT-BASED CONVERSATION HOTSPOT DETECTION
- Publication number
- US20260311692A1
- Application number
- 19539869
- Filed
- Feb 13, 2026
- Published
- Oct 8, 2026
- Inventors
- 5
- Claims
- 21
Classified under
G10L 15/1815 Physics & computingG10L 15/04 Physics & computingG10L 15/22 Physics & computingG08B 21/182 Physics & computingMore from Amazon in AI & software
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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.