GAUDIO LAB, INC. (20240321265). AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL simplified abstract
Contents
- 1 AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Audio Synchronization Technology
- 1.13 Original Abstract Submitted
AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL
Organization Name
Inventor(s)
AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240321265 titled 'AUDIO SIGNAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZING SPEECH AND TEXT BY USING MACHINE LEARNING MODEL
Simplified Explanation
The patent application describes an audio signal processing device that synchronizes audio signals with text and speech signals. The device uses audio and text pronunciation information to correlate and synchronize the text with the speech signal.
- The device processes audio signals to obtain audio pronunciation information divided into frames and text pronunciation information divided into segments.
- It then correlates features extracted from the audio and text pronunciation information to synchronize the text with the speech signal.
Key Features and Innovation
- Processing audio signals to obtain audio pronunciation information divided into frames and text pronunciation information divided into segments.
- Correlating features extracted from the audio and text pronunciation information to synchronize the text with the speech signal.
Potential Applications
This technology can be used in various applications such as speech recognition systems, language learning tools, and audio transcription services.
Problems Solved
This technology addresses the challenge of synchronizing text with speech signals accurately and efficiently.
Benefits
- Improved accuracy in synchronizing text with speech signals.
- Enhanced user experience in applications such as language learning and transcription services.
Commercial Applications
- Title: "Advanced Audio Synchronization Technology for Speech Recognition Systems"
- This technology can be commercially applied in speech recognition systems, language learning platforms, and audio transcription services to enhance accuracy and efficiency.
Prior Art
Readers can explore prior art related to audio signal processing, speech recognition, and text-to-speech technology to understand the evolution of similar technologies.
Frequently Updated Research
Stay updated on advancements in audio signal processing, speech recognition, and natural language processing to enhance the capabilities of this technology.
Questions about Audio Synchronization Technology
How does this technology improve the accuracy of speech recognition systems?
This technology improves accuracy by correlating audio and text pronunciation information to synchronize text with speech signals effectively.
What are the potential applications of this audio synchronization technology beyond speech recognition?
The technology can be applied in language learning tools, audio transcription services, and other applications requiring accurate synchronization of text with speech signals.
Original Abstract Submitted
disclosed is an audio signal processing device for synchronizing an audio signal and text with a speech signal, the audio signal including speech and the text corresponding to the speech. a processor of the audio signal processing device obtains first audio pronunciation information corresponding to the speech, the first audio pronunciation information being divided with regard to multiple frames included in the audio signal, and obtains first text pronunciation information corresponding to the text, the first text pronunciation information being divided with regard to multiple segments. the processor obtains information indicating a correlation between second audio pronunciation information, which is a feature extracted from each of the multiple frames of the first audio pronunciation information, and second text pronunciation information, which is a feature extracted from each of the multiple segments of the first text pronunciation information, and synchronizes the text with the speech signal according to the information indicating the correlation.
