Telefonaktiebolaget lm ericsson (publ) (20240119962). Method and Device for Voice Activity Detection simplified abstract
Contents
- 1 Method and Device for Voice Activity Detection
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Method and Device for Voice Activity Detection - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Method and Device for Voice Activity Detection
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Martin Sehlstedt of Luleå (SE)
Method and Device for Voice Activity Detection - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119962 titled 'Method and Device for Voice Activity Detection
Simplified Explanation
The abstract describes a method and apparatus for voice activity detection (VAD) that involves creating a signal indicative of a primary VAD decision, determining hangover addition based on short term and/or long term activity measures, and creating a signal indicative of a final VAD decision.
- Voice Activity Detection (VAD) method and apparatus
- Primary VAD decision signal creation
- Hangover addition determination based on short term and/or long term activity measures
- Final VAD decision signal creation
Potential Applications
The technology can be applied in:
- Speech recognition systems
- Telecommunications for noise reduction
- Voice-controlled devices
Problems Solved
- Accurate detection of voice activity in noisy environments
- Efficient utilization of resources by activating voice-related functions only when needed
Benefits
- Improved user experience in voice-controlled applications
- Enhanced performance of speech recognition systems
- Reduction of false activations in telecommunications
Potential Commercial Applications
- Mobile devices
- Smart home systems
- Call centers
Possible Prior Art
One example of prior art in voice activity detection is the use of energy-based VAD algorithms that analyze the energy levels of audio signals to determine voice activity.
Unanswered Questions
How does the method handle variations in speech patterns and accents?
The abstract does not provide information on how the VAD method adapts to different speech patterns and accents, which could affect its accuracy in detecting voice activity.
What is the computational complexity of the proposed VAD method?
The abstract does not mention the computational resources required to implement the VAD method, which could be crucial for real-time applications with limited processing power.
Original Abstract Submitted
in accordance with an example embodiment of the present invention, disclosed is a method and an apparatus for voice activity detection (vad). the vad comprises creating a signal indicative of a primary vad decision and determining hangover addition. the determination on hangover addition is made in dependence of a short term activity measure and/or a long term activity measure. a signal indicative of a final vad decision is then created.
