Huawei technologies co., ltd. (20240242709). Method and System for Constructing Speech Recognition Model and Speech Processing simplified abstract
Contents
Method and System for Constructing Speech Recognition Model and Speech Processing
Organization Name
Inventor(s)
Method and System for Constructing Speech Recognition Model and Speech Processing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240242709 titled 'Method and System for Constructing Speech Recognition Model and Speech Processing
The abstract of the patent application describes a method for constructing a speech recognition model by obtaining a target keyword, determining a synonym group associated with the keyword, training a language model based on the keyword and synonym group, generating a decoding graph based on the language model, and determining the speech recognition model based on the decoding graph.
- Simplified Explanation:
- The method involves creating a speech recognition model using a target keyword and its associated synonym group.
- Key Features and Innovation:
- Obtaining a target keyword and its synonym group. - Training a language model based on the keyword and synonym group. - Generating a decoding graph to determine the speech recognition model.
- Potential Applications:
- Speech recognition technology in various industries. - Voice-controlled devices and applications. - Language translation services.
- Problems Solved:
- Improving speech recognition accuracy. - Enhancing user experience with voice commands. - Increasing efficiency in language processing.
- Benefits:
- More accurate and reliable speech recognition. - Better understanding of user commands. - Enhanced performance of voice-controlled systems.
- Commercial Applications:
- "Enhancing Speech Recognition Models for Improved User Experience and Efficiency"
- Questions about Speech Recognition Models:
1. How does the method of using synonym groups improve speech recognition accuracy? - The method helps expand the language model's understanding of different variations of the target keyword, leading to more accurate recognition of speech patterns.
2. What are the potential challenges in implementing this method in real-world applications? - Challenges may include processing large amounts of data for training the language model, optimizing the decoding graph for efficiency, and ensuring compatibility with different languages and dialects.
Original Abstract Submitted
a method for constructing a speech recognition model includes obtaining a target keyword; determining a synonym group semantically associated with the target keyword; training a language model based on the target keyword and the synonym group; to obtain a target language model; generating a first decoding graph based on the target language model, where the first decoding graph indicates a plurality of decoding paths that satisfy a syntax constraint rule that is based on the target keyword and the synonym group; and determining the speech recognition model based on the first decoding graph.
