Sony Group Corporation (20240276147). AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE simplified abstract
Contents
- 1 AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE
Organization Name
Inventor(s)
AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240276147 titled 'AUDIO SIGNAL PROCESSING APPARATUS, AUDIO SIGNAL PROCESSING METHOD, AND ELECTRONIC DEVICE
Simplified Explanation
An audio signal conversion unit converts a non-directional microphone's audio signal into a unidirectional one using a deep neural network.
- The unit is trained to minimize the difference between acoustic features extracted from the converted audio signal and those from a unidirectional microphone's audio signal.
Key Features and Innovation
- Conversion of non-directional audio signals to unidirectional ones using a deep neural network.
- Training the network to minimize differences in acoustic features between the converted and original signals.
Potential Applications
This technology can be used in:
- Audio recording and production.
- Noise cancellation systems.
- Speech recognition software.
Problems Solved
- Enhancing audio quality by converting non-directional signals to unidirectional ones.
- Improving the accuracy of acoustic feature extraction.
Benefits
- Improved sound quality.
- Enhanced performance of audio processing systems.
- Better noise reduction capabilities.
Commercial Applications
- This technology can be applied in the development of high-quality audio recording devices.
- It can also be integrated into speech recognition software for improved accuracy.
Questions about the Technology
1. How does the deep neural network minimize differences in acoustic features between the converted and original audio signals?
The deep neural network is trained using algorithms that adjust its parameters to reduce the gap in acoustic features extracted from the two types of signals.
2. What are the potential limitations of using a deep neural network for audio signal conversion?
One potential limitation could be the computational resources required to train and deploy the network effectively.
Original Abstract Submitted
an audio signal conversion unit converts an audio signal obtained by collecting sound by the non-directional microphone into a unidirectional audio signal. for example, the audio signal conversion unit is configured with a deep neural network. in this case, for example, the deep neural network is trained to learn to minimize a difference between an acoustic feature amount extracted from an audio signal converted by the deep neural network and an acoustic feature amount extracted from a unidirectional audio signal obtained by collecting sound by a unidirectional microphone.
