Google llc (20240104247). PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM simplified abstract
Contents
- 1 PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM
Organization Name
Inventor(s)
Oliver Siohan of Mountain View CA (US)
Takaki Makino of Mountain View CA (US)
Richard Rose of Mountain View CA (US)
Otavio Braga of Mountain View CA (US)
Basilio Garcia Castillo of Mountain View CA (US)
PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104247 titled 'PRIVACY-AWARE MEETING ROOM TRANSCRIPTION FROM AUDIO-VISUAL STREAM
Simplified Explanation
The patent application describes a method for privacy-aware transcription in a speech environment, where audio data and image data are used to determine the identity of speakers and apply privacy conditions when necessary.
- Receiving audio-visual signal with audio and image data
- Segmenting audio data into multiple segments
- Determining speaker identity based on image data
- Applying privacy conditions to segments involving specific participants
- Processing segments to generate a transcript
Potential Applications
This technology could be applied in conference calls, meetings, interviews, and any other situations where privacy of participants is a concern.
Problems Solved
This technology addresses the issue of maintaining privacy in audio transcription by automatically applying privacy conditions based on participant identities.
Benefits
- Enhanced privacy protection for participants in speech environments - Streamlined transcription process with automated privacy considerations
Potential Commercial Applications
"Privacy-Aware Transcription Technology for Secure Meetings and Interviews"
Possible Prior Art
Prior art in the field of audio transcription and privacy protection technologies may include methods for speaker identification and privacy filtering in audio recordings.
What are the potential security implications of using this technology?
Using this technology could raise concerns about the security of the data being processed, as it involves analyzing audio and image data to determine speaker identities and apply privacy conditions. Ensuring the protection of this sensitive information and preventing unauthorized access to the transcripts would be crucial.
How does this technology compare to existing transcription methods in terms of accuracy and efficiency?
This technology offers the advantage of automatically applying privacy conditions based on participant identities, which can improve the accuracy and efficiency of transcription processes in speech environments where privacy concerns are present. Existing methods may require manual intervention to address privacy issues, making this innovation a more streamlined and secure option.
Original Abstract Submitted
a method for a privacy-aware transcription includes receiving audio-visual signal including audio data and image data for a speech environment and a privacy request from a participant in the speech environment where the privacy request indicates a privacy condition of the participant. the method further includes segmenting the audio data into a plurality of segments. for each segment, the method includes determining an identity of a speaker of a corresponding segment of the audio data based on the image data and determining whether the identity of the speaker of the corresponding segment includes the participant associated with the privacy condition. when the identity of the speaker of the corresponding segment includes the participant, the method includes applying the privacy condition to the corresponding segment. the method also includes processing the plurality of segments of the audio data to determine a transcript for the audio data.
