18054670. GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS - 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 Original Abstract Submitted
GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18054670 titled 'GENERATION OF TRAINING EXAMPLES FOR TRAINING AUTOMATIC SPEECH RECOGNIZERS
Simplified Explanation
The present invention involves a method, computer program product, and computer system for generating training examples for training an automatic speech recognizer. This includes receiving a training dataset of original audio signals and generating training examples based on imperceptible spaces and adversarial audio examples.
- Training examples are generated for training an automatic speech recognizer.
- The method involves constructing imperceptible spaces for original audio signals.
- Adversarial audio examples are generated in the constructed imperceptible space.
- Imperceptible and adversarial audio examples are provided to an adversarial trainer for the automatic speech recognizer.
Potential Applications
This technology can be applied in:
- Speech recognition systems
- Voice-controlled devices
- Language translation tools
Problems Solved
This technology helps in:
- Improving the accuracy of automatic speech recognition
- Enhancing the performance of speech-to-text systems
Benefits
The benefits of this technology include:
- Enhanced training examples for automatic speech recognition
- Increased efficiency in speech recognition systems
Potential Commercial Applications
This technology can be commercially benefit:
- Speech recognition software companies
- Virtual assistant developers
Possible Prior Art
One possible prior art for this technology could be the use of adversarial training examples in machine learning algorithms to improve model performance.
Unanswered Questions
How does this technology handle different accents and dialects in speech recognition?
This article does not address how the generated training examples account for variations in accents and dialects that may affect speech recognition accuracy.
What impact does this technology have on the privacy and security of audio data used for training?
The article does not discuss the potential privacy and security implications of using imperceptible spaces and adversarial audio examples in training automatic speech recognizers.
Original Abstract Submitted
A method, computer program product, and computer system for generation of training examples for training an automatic speech recognizer. Embodiments of the present invention can receive a training dataset of original audio signals and generate training examples for training an automatic speech recognizer based, at least in part, on a constructed imperceptible space for an original audio signal of the original audio signals and adversarial audio examples in the constructed imperceptible space. Embodiments of the present invention can then generate an imperceptible and adversarial audio example to an adversarial trainer for the automatic speech recognizer.
