Samsung Electronics Co., Ltd. (20240331715). SYSTEM AND METHOD FOR MASK-BASED NEURAL BEAMFORMING FOR MULTI-CHANNEL SPEECH ENHANCEMENT simplified abstract
Contents
SYSTEM AND METHOD FOR MASK-BASED NEURAL BEAMFORMING FOR MULTI-CHANNEL SPEECH ENHANCEMENT
Organization Name
Inventor(s)
Ching-Hua Lee of Mountain View CA (US)
Chou-Chang Yang of San Jose CA (US)
Yilin Shen of San Jose CA (US)
Hongxia Jin of San Jose CA (US)
SYSTEM AND METHOD FOR MASK-BASED NEURAL BEAMFORMING FOR MULTI-CHANNEL SPEECH ENHANCEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331715 titled 'SYSTEM AND METHOD FOR MASK-BASED NEURAL BEAMFORMING FOR MULTI-CHANNEL SPEECH ENHANCEMENT
Simplified Explanation:
The patent application describes a method for isolating clean speech audio from a set of noisy audio signals received from multiple audio input devices. The method involves generating a noisy time-frequency representation, using a mask estimation model to predict a clean time-frequency representation, determining beamforming filter weights based on the mask, and applying these weights to isolate the clean speech audio.
- The method receives noisy audio signals from multiple audio input devices.
- It generates a noisy time-frequency representation based on the received signals.
- A mask estimation model is used to predict a clean time-frequency representation of the speech audio.
- Beamforming filter weights are determined based on the mask.
- These weights are applied to the noisy time-frequency representation to isolate the clean speech audio.
Potential Applications:
This technology could be applied in various fields such as telecommunications, audio processing, speech recognition, and noise cancellation systems.
Problems Solved:
This technology addresses the challenge of isolating clean speech audio from noisy audio signals, improving the quality of audio processing and speech recognition systems.
Benefits:
The method enhances the accuracy and efficiency of speech audio processing, leading to improved communication systems and better user experience.
Commercial Applications:
Title: Enhanced Speech Audio Processing Technology for Communication Systems
This technology can be utilized in telecommunications, audio recording devices, speech recognition software, and noise cancellation systems, offering enhanced audio quality and improved user experience in various commercial applications.
Prior Art:
Prior research in the field of audio signal processing, beamforming, and speech enhancement techniques could provide valuable insights into similar methods and technologies.
Frequently Updated Research:
Researchers are constantly exploring new algorithms and models to improve speech audio processing, noise cancellation, and beamforming techniques in various applications. Stay updated on the latest advancements in these areas for potential improvements in this technology.
Questions about Speech Audio Processing Technology:
1. How does this technology compare to traditional noise cancellation methods in audio processing? 2. What are the potential limitations of this method in real-world applications?
Original Abstract Submitted
a method includes receiving, during a first time window, a set of noisy audio signals from a plurality of audio input devices. the method also includes generating a noisy time-frequency representation based on the set of noisy audio signals. the method further includes providing the noisy time-frequency representation as an input to a mask estimation model trained to output a mask used to predict a clean time-frequency representation of clean speech audio from the noisy time-frequency representation. the method also includes determining beamforming filter weights based on the mask. the method further includes applying the beamforming filter weights to the noisy time-frequency representation to isolate the clean speech audio from the set of noisy audio signals. in addition, the method includes outputting the clean speech audio.
