Avago Technologies International Sales Pte. Limited (20240257825). DYNAMIC SELECTION OF APPROPRIATE FAR-FIELD SIGNAL SEPARATION ALGORITHMS simplified abstract
Contents
DYNAMIC SELECTION OF APPROPRIATE FAR-FIELD SIGNAL SEPARATION ALGORITHMS
Organization Name
Avago Technologies International Sales Pte. Limited
Inventor(s)
Qutubuddin Saifee of Bangalore (IN)
Raghuram Annadana of Bangalore (IN)
Sunil Kashinath Shripad of Bangalore (IN)
Manoj Singhal of Bangalore (IN)
DYNAMIC SELECTION OF APPROPRIATE FAR-FIELD SIGNAL SEPARATION ALGORITHMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257825 titled 'DYNAMIC SELECTION OF APPROPRIATE FAR-FIELD SIGNAL SEPARATION ALGORITHMS
Simplified Explanation: This patent application describes a computer system that processes audio data using different signal separation algorithms based on specific parameters.
- The system receives audio data and processes it using a signal separation algorithm.
- If the output meets certain parameters, the processed audio data is outputted.
- If the output does not meet the parameters, a different signal separation algorithm is selected for processing a subsequent audio data input.
Key Features and Innovation:
- Adaptive signal separation algorithm selection based on output parameters.
- Efficient processing of audio data using multiple algorithms.
- Real-time audio data processing capabilities.
Potential Applications:
- Audio enhancement in noisy environments.
- Speech recognition systems.
- Music production and editing tools.
Problems Solved:
- Improving audio quality in challenging acoustic environments.
- Enhancing the performance of audio processing systems.
- Streamlining the signal separation process.
Benefits:
- Enhanced audio quality.
- Improved accuracy in speech recognition.
- Increased efficiency in audio processing tasks.
Commercial Applications: The technology can be utilized in industries such as telecommunications, entertainment, and security for audio processing applications. It can also be integrated into software tools for audio editing and analysis.
Prior Art: Readers can explore prior art related to audio signal processing, adaptive algorithms, and machine learning techniques in the field of audio processing.
Frequently Updated Research: Stay updated on advancements in signal separation algorithms, audio processing technologies, and real-time audio analysis methods for potential improvements in the system.
Questions about Audio Signal Processing: 1. How does the system determine which signal separation algorithm to use? 2. What are the potential challenges in implementing multiple signal separation algorithms in real-time audio processing systems?
Original Abstract Submitted
an exemplary implementation includes a non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations including receiving a first audio data, processing the first audio data by a first signal separation algorithm, in response to an output of the first signal separation algorithm satisfying at least one parameter, outputting the processed first audio data. in response to the output of the first signal separation algorithm not satisfying the at least one parameter selecting a second signal separation algorithm, which is different than the first signal separation algorithm, receiving a second audio data subsequent in time to receiving the first audio data, processing the second audio data by the second signal separation algorithm, and outputting the processed second audio data.
