SoundHound AI IP, LLC. (20240331702). METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA simplified abstract
Contents
METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA
Organization Name
Inventor(s)
Kiersten L. Bradley of Santa Clara CA (US)
Ethan Coeytaux of Boulder CO (US)
METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331702 titled 'METHOD AND SYSTEM FOR CONVERSATION TRANSCRIPTION WITH METADATA
The patent application discloses methods and systems for efficient review of meeting content through a metadata-enriched, speaker-attributed transcript.
- Incorporates speaker diarization and other metadata for structured and effective review and editing of the transcript.
- Utilizes image or video data as metadata to represent meeting content.
- Implements a multimodal diarization model to identify and label different speakers.
- Synchronizes various data sources like audio channel data, voice feature vectors, acoustic beamforming, image identification, and extrinsic data for speaker diarization.
- Potential Applications:**
This technology can be applied in transcription services, meeting recording and editing tools, conference call platforms, and speech recognition software.
- Problems Solved:**
Streamlines the review and editing process of meeting transcripts, enhances accuracy in speaker identification, and improves overall efficiency in managing meeting content.
- Benefits:**
Increases productivity in reviewing meeting content, enhances collaboration in team discussions, improves accessibility to meeting recordings, and enhances the overall user experience.
- Commercial Applications:**
This technology can be utilized in transcription software for businesses, virtual meeting platforms, AI-driven meeting assistants, and communication tools for remote teams.
- Questions about the Technology:**
1. How does the system synchronize various data sources for speaker diarization? 2. What are the potential challenges in implementing a multimodal diarization model for identifying speakers accurately?
Original Abstract Submitted
methods and systems for enabling an efficient review of meeting content via a metadata-enriched, speaker-attributed transcript are disclosed. by incorporating speaker diarization and other metadata, the system can provide a structured and effective way to review and/or edit the transcript. one type of metadata can be image or video data to represent the meeting content. furthermore, the present subject matter utilizes a multimodal diarization model to identify and label different speakers. the system can synchronize various sources of data, e.g., audio channel data, voice feature vectors, acoustic beamforming, image identification, and extrinsic data, to implement speaker diarization.
