GN Audio A/S (20240212668). METHOD FOR TRAINING A NEURAL NETWORK AND A DATA PROCESSING DEVICE simplified abstract
Contents
METHOD FOR TRAINING A NEURAL NETWORK AND A DATA PROCESSING DEVICE
Organization Name
Inventor(s)
Pejman Mowlaee of Ballerup (DK)
Rasmus Kongsgaard Olsson of Ballerup (DK)
METHOD FOR TRAINING A NEURAL NETWORK AND A DATA PROCESSING DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212668 titled 'METHOD FOR TRAINING A NEURAL NETWORK AND A DATA PROCESSING DEVICE
The abstract describes a method for training a neural network using a data processing device. Pairs of target audio data sets and distorted audio data sets are provided to the neural network, along with values of user preference settings associated with the pairs. The neural network is trained using a combination of the pairs of target and distorted audio data sets, along with the values of user preference settings. The distorted audio data and user preference settings are used as inputs during training, and the loss function used for training the neural network is a function of the user preference settings, target audio data, and distorted audio data.
- Training a neural network using pairs of target and distorted audio data sets
- Incorporating user preference settings into the training process
- Using a combination of audio data sets and user preference settings for training
- Utilizing a loss function that considers user preference settings
- Meeting a variety of user preference settings with one trained neural network
Potential Applications: - Audio enhancement in various industries such as music production, telecommunications, and entertainment - Speech recognition and synthesis applications - Noise reduction and audio restoration technologies
Problems Solved: - Improving the quality of audio data through neural network training - Addressing user preferences in audio processing tasks - Enhancing the performance of audio-related applications
Benefits: - Enhanced audio quality and user satisfaction - Customizable audio processing based on user preferences - Improved accuracy and efficiency in audio-related tasks
Commercial Applications: Title: Enhanced Audio Processing Technology for Various Industries This technology can be used in music production studios, call centers, and entertainment venues to improve audio quality and meet user preferences. It can also be integrated into speech recognition systems for better accuracy and performance.
Questions about Enhanced Audio Processing Technology: 1. How does this technology improve the quality of audio data? 2. What are the potential applications of this technology in the telecommunications industry?
Original Abstract Submitted
a computer-implemented method () for training a neural network () by using a data processing device () is presented. the method () comprises providing () pairs () of target audio data sets () and distorted audio data sets () to the neural network (), providing () values () of user preference settings, wherein the values () are associated to the pairs () of target and distorted audio data sets (), such that the neural network () can be trained by a combination of the pairs () of the target audio data () and the distorted audio data () in combination with the values () of the user preference settings, wherein the distorted audio data () and the values () of the user preference settings are used as inputs to the neural network () during training, and wherein a loss function () used for training the neural network is a function of the values () of the user preference settings, the target audio data (), and the distorted audio data () thereby providing for that a variety of user preference settings can be met with one and the same trained neural network.
