GOOGLE LLC (20240242728). Cascade Architecture for Noise-Robust Keyword Spotting simplified abstract
Contents
Cascade Architecture for Noise-Robust Keyword Spotting
Organization Name
Inventor(s)
Yiteng Huang of Mountain View CA (US)
Alexander H. Gruenstein of Mountain View CA (US)
Cascade Architecture for Noise-Robust Keyword Spotting - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242728 titled 'Cascade Architecture for Noise-Robust Keyword Spotting
Simplified Explanation:
The patent application describes a method for processing multi-channel audio captured by an array of microphones on a user device to detect a specific keyword.
- The method involves using a first stage hotword detector to analyze the audio features of each channel to determine if the keyword is present.
- When the keyword is detected, the raw audio data is cleaned using a noise cleaning algorithm to generate a clean monophonic audio chomp.
- A second stage hotword detector is then used to further analyze the clean audio chomp to confirm the presence of the keyword.
Key Features and Innovation:
- Multi-channel audio processing for keyword detection.
- Two-stage hotword detection process.
- Noise cleaning algorithm for generating clean audio data.
Potential Applications:
- Voice-controlled devices.
- Speech recognition systems.
- Security applications.
Problems Solved:
- Efficient keyword detection in multi-channel audio.
- Improved accuracy in identifying specific keywords.
Benefits:
- Enhanced user experience with voice-controlled devices.
- Increased security through accurate keyword detection.
Commercial Applications:
- Smart home devices.
- Virtual assistants.
- Security systems.
Prior Art:
Prior research in multi-channel audio processing and keyword detection algorithms may provide insights into similar technologies.
Frequently Updated Research:
Stay updated on advancements in noise cleaning algorithms and hotword detection techniques for improved performance.
Questions about Multi-Channel Audio Processing: 1. How does the two-stage hotword detection process improve keyword detection accuracy? 2. What are the potential challenges in implementing multi-channel audio processing for keyword detection?
Original Abstract Submitted
a method includes receiving, at a first processor of a user device, streaming multi-channel audio captured by an array of microphones, each channel including respective audio features. for each channel, the method also includes processing, by the first processor, using a first stage hotword detector, the respective audio features to determine whether a hotword is detected. when the first stage hotword detector detects the hotword, the method also includes the first processor providing chomped raw audio data to a second processor that processes, using a first noise cleaning algorithm, the chomped raw audio data to generate a clean monophonic audio chomp. the method also includes processing, by the second processor using a second stage hotword detector, the clean monophonic audio chomp to detect the hotword.
