TRULEO, INC. (20240331721). AUDIO ANALYSIS OF BODY WORN CAMERA simplified abstract
Contents
AUDIO ANALYSIS OF BODY WORN CAMERA
Organization Name
Inventor(s)
Tejas Shastry of Chicago IL (US)
Svyatoslav Vergun of Morton Grove IL (US)
Colin Brochtrup of Chicago IL (US)
Matthew Goldey of Zionsville IN (US)
AUDIO ANALYSIS OF BODY WORN CAMERA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331721 titled 'AUDIO ANALYSIS OF BODY WORN CAMERA
Abstract: Machine natural language processing to analyze language in apparatus, systems, and methods of using are provided. Audio from camera footage can be transcribed in one exemplary method includes extracting at least one audio segment from a body camera video track, detecting voice activity to identify starting and ending timestamps of voice, transcribing the at least one audio segment to identify and separate audio of at least a first speaker, and scoring the audio of the first speaker to identify interactions of interest. Audio could be analyzed and scored to record verbal performance, respectfulness, wellness, etc. and speakers from the audio can be detected.
- Simplified Explanation:
This patent application describes a method using machine natural language processing to transcribe audio from camera footage, identify speakers, and score interactions of interest.
- Key Features and Innovation:
- Machine natural language processing technology - Audio transcription and speaker identification - Scoring interactions based on verbal performance, respectfulness, wellness, etc.
- Potential Applications:
- Law enforcement body camera footage analysis - Customer service call monitoring - Speech therapy evaluation
- Problems Solved:
- Efficient transcription of audio from camera footage - Automated speaker identification - Analysis of verbal interactions for various purposes
- Benefits:
- Improved accuracy in transcribing audio - Enhanced understanding of speaker interactions - Streamlined analysis of language in various contexts
- Commercial Applications:
"Machine Natural Language Processing for Audio Analysis in Law Enforcement and Customer Service"
- Questions about Machine Natural Language Processing for Audio Analysis:
1. How does machine natural language processing improve the transcription of audio from camera footage? 2. What are the potential privacy concerns related to analyzing audio from camera footage using this technology?
- Frequently Updated Research:
Stay updated on advancements in machine natural language processing for audio analysis in various industries to understand the latest trends and applications.
Original Abstract Submitted
machine natural language processing to analyze language in apparatus, systems, and methods of using are provided. audio from camera footage can be transcribed in one exemplary method includes extracting at least one audio segment from a body camera video track, detecting voice activity to identify starting and ending timestamps of voice, transcribing the at least one audio segment to identify and separate audio of at least a first speaker, and scoring the audio of the first speaker to identify interactions of interest. audio could be analyzed and scored to record verbal performance, respectfulness, wellness, etc. and speakers from the audio can be detected.
