Google llc (20240233712). Speech Recognition Biasing simplified abstract
Contents
- 1 Speech Recognition Biasing
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Speech Recognition Biasing - 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 Questions about Speech Recognition Biasing
- 1.11 Original Abstract Submitted
Speech Recognition Biasing
Organization Name
Inventor(s)
Olawale Abiri of Westfield NJ (US)
Dharmeshkumar Jayantilal Mokani of Milpitas CA (US)
Speech Recognition Biasing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240233712 titled 'Speech Recognition Biasing
Simplified Explanation
The patent application describes a method for biasing speech recognition based on context data to improve transcription accuracy.
- Receiving a speech recognition request with audio data and configuration parameters.
- Processing the audio data using a speech recognition model to generate scores for speech elements.
- Determining context scores for the speech elements based on configuration parameters and context data.
- Biasing the speech recognition scores using the context scores.
- Determining the transcription for the utterance based on the biased speech recognition scores.
Key Features and Innovation
- Biasing speech recognition based on context data.
- Improving transcription accuracy by adjusting recognition scores.
- Enhancing speech recognition models with context information.
- Customizing speech recognition based on specific parameters.
Potential Applications
- Voice-controlled devices.
- Transcription services.
- Language translation applications.
- Accessibility tools for individuals with speech impairments.
Problems Solved
- Enhancing transcription accuracy in speech recognition.
- Improving user experience with voice-activated systems.
- Addressing the need for context-aware speech recognition.
Benefits
- Higher accuracy in transcribing spoken language.
- Customized speech recognition for specific contexts.
- Improved efficiency in voice-based applications.
Commercial Applications
"Context-Aware Speech Recognition for Enhanced Transcription Accuracy and User Experience"
This technology can be utilized in various industries such as:
- Customer service for automated call centers.
- Voice assistants in smart home devices.
- Transcription services for meetings and interviews.
- Language learning applications.
Questions about Speech Recognition Biasing
How does biasing speech recognition based on context data improve transcription accuracy?
Biasing speech recognition allows for adjusting recognition scores based on context information, leading to more accurate transcriptions.
What are the potential applications of context-aware speech recognition technology?
Potential applications include voice-controlled devices, transcription services, language translation applications, and accessibility tools for individuals with speech impairments.
Original Abstract Submitted
a method for speech recognition biasing includes receiving, from an application executing on a user device, at a speech service interface, a speech recognition request requesting a transcription of an utterance. the speech recognition request includes audio data encoding the utterance and configuration parameters for biasing a speech recognition model based on context data. the method includes processing, using the speech recognition model, the audio data to generate speech recognition scores for speech elements and determining context scores for the speech elements based on the configuration parameters and the context data. the method includes biasing the speech recognition scores using the context scores. the method also includes determining the transcription for the utterance based on the biased speech recognition scores.
