Super Hi-Fi, LLC (20240321286). Systems and Methods for Audio Preparation and Delivery simplified abstract
Contents
Systems and Methods for Audio Preparation and Delivery
Organization Name
Inventor(s)
Brendon Patrick Cassidy of Venice CA (US)
Zack J. Zalon of Sherman Oaks CA (US)
Systems and Methods for Audio Preparation and Delivery - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240321286 titled 'Systems and Methods for Audio Preparation and Delivery
The present application involves systems and methods for audio preparation and delivery, utilizing a controller to carry out various operations. These operations include receiving source audio with a vocal portion, selecting a primary voice profile using a trained machine learning model based on the vocal portion, adjusting the source audio based on the selected primary voice profile, and providing output audio based on the adjusted portion of the source audio.
- Controller used for operations in audio preparation and delivery
- Source audio received with a vocal portion
- Selection of primary voice profile using machine learning model
- Adjustment of source audio based on selected primary voice profile
- Output audio provided based on adjusted source audio
Potential Applications: - Music production - Podcast editing - Voice-over recording
Problems Solved: - Streamlining audio editing processes - Enhancing vocal quality in recordings
Benefits: - Improved audio quality - Efficient editing workflows
Commercial Applications: Title: "Advanced Audio Editing System for Professional Productions" This technology can be used in professional audio production studios, podcasting companies, and music recording studios to enhance the quality of audio recordings and streamline the editing process.
Questions about the technology: 1. How does the machine learning model analyze the vocal portion of the source audio? - The machine learning model analyzes various vocal characteristics such as pitch, tone, and timbre to select the primary voice profile. 2. What are the potential limitations of using a trained machine learning model for audio adjustment? - One potential limitation could be the accuracy of the model in selecting the most suitable primary voice profile for the source audio.
Original Abstract Submitted
the present application relates to systems and methods for audio preparation and delivery. such systems and methods may involve a controller configured to carry out operations. the operations include receiving source audio comprising a vocal portion. the operations also include selecting, using a trained machine learning model, a primary voice profile based on an analysis of the vocal portion of the received source audio. the primary voice profile is selected from a plurality of predetermined voice profiles. the operations also include adjusting, based on the selected primary voice profile, at least a portion of the source audio. the operations also include providing output audio based on the adjusted portion of source audio.
