Samsung electronics co., ltd. (20240161747). ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME simplified abstract
Contents
- 1 ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME - 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
ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME
Organization Name
Inventor(s)
Seongyeop Jeong of Daejeon (KR)
ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161747 titled 'ELECTRONIC DEVICE INCLUDING TEXT TO SPEECH MODEL AND METHOD FOR CONTROLLING THE SAME
Simplified Explanation
The patent application describes an electronic device and method for controlling the device using a text-to-speech model to identify errors in voice signals and modify nodes in the model accordingly.
- The electronic device includes memory and at least one processor connected to the memory.
- The processor obtains a voice signal based on a text-to-speech model stored in memory.
- If an error is detected in the voice signal, the processor identifies the error part and the activities of nodes related to the error.
- The processor then modifies at least one node in the text-to-speech model based on the identified activities.
Potential Applications
This technology could be applied in:
- Speech recognition software
- Language learning applications
- Accessibility tools for individuals with speech impairments
Problems Solved
This technology helps in:
- Improving the accuracy of text-to-speech conversion
- Enhancing the user experience with voice-controlled devices
- Streamlining the process of error correction in voice signals
Benefits
The benefits of this technology include:
- Increased efficiency in identifying and correcting errors in voice signals
- Enhanced performance of text-to-speech models
- Improved communication for users relying on voice technology
Potential Commercial Applications
The technology could be used in:
- Smart home devices
- Virtual assistants
- Call center automation systems
Possible Prior Art
One possible prior art could be the use of machine learning algorithms to improve speech recognition accuracy in text-to-speech systems.
Unanswered Questions
How does this technology impact data privacy and security in voice-controlled devices?
This article does not address the potential implications of modifying nodes in a text-to-speech model on data privacy and security in voice-controlled devices.
What are the limitations of this technology in handling complex linguistic structures or accents?
The article does not discuss the potential challenges or limitations of the technology in accurately identifying errors in voice signals with complex linguistic structures or accents.
Original Abstract Submitted
provided is an electronic device and method of controlling same, the electronic device including: memory; and at least one processor operatively connected with the memory, wherein the at least one processor is configured to: obtain a voice signal based on a text to speech (tts) model including a plurality of nodes, stored in the memory, wherein the voice signal corresponds to an input text, based on identifying that the voice signal includes an error, identify an error part of the voice signal which includes the identified error, identify an activity of each of the plurality of nodes related to the error part, and modify at least one node among the plurality of nodes based on the identified activity of the at least one node.
