Google llc (20240194188). Voice-history Based Speech Biasing simplified abstract
Contents
- 1 Voice-history Based Speech Biasing
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Voice-history Based Speech 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 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Voice Query History for Speech Recognition
- 1.13 Original Abstract Submitted
Voice-history Based Speech Biasing
Organization Name
Inventor(s)
Mikhail Dektiarev of Zurich (CH)
Voice-history Based Speech Biasing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240194188 titled 'Voice-history Based Speech Biasing
Simplified Explanation
The patent application describes a method of using voice query history to improve speech recognition. This involves analyzing audio data of a current query spoken by a user, comparing it to past queries, and generating a biasing context vector to enhance the accuracy of speech recognition.
Key Features and Innovation
- Utilizes voice query history data to improve speech recognition accuracy.
- Generates a biasing context vector based on past queries spoken by the user.
- Augments the candidate hypotheses lattice with the biasing context vector to enhance transcription accuracy.
Potential Applications
This technology can be applied in:
- Voice-controlled devices
- Virtual assistants
- Call center automation systems
Problems Solved
- Enhances speech recognition accuracy
- Improves transcription of user queries
- Increases user satisfaction with voice-controlled systems
Benefits
- More accurate speech recognition
- Enhanced transcription of user queries
- Improved user experience with voice-controlled devices
Commercial Applications
- This technology can be utilized in various industries such as telecommunications, customer service, and smart home devices to enhance speech recognition accuracy and user experience.
Prior Art
Further research can be conducted in the field of speech recognition and natural language processing to explore similar methods of utilizing voice query history for improving transcription accuracy.
Frequently Updated Research
Stay updated on advancements in speech recognition technology, natural language processing, and user interaction with voice-controlled systems to enhance the application of this innovation.
Questions about Voice Query History for Speech Recognition
How does voice query history data improve speech recognition accuracy?
Voice query history data provides context from past user queries, allowing the system to better predict and transcribe current queries accurately.
What are the potential limitations of using voice query history in speech recognition systems?
One limitation could be the privacy concerns associated with storing and analyzing past user queries for improving speech recognition accuracy.
Original Abstract Submitted
a method of using voice query history to improve speech recognition includes receiving audio data corresponding to a current query spoken by a user and processing the audio data to generate a lattice of candidate hypotheses. the method also includes obtaining voice query history data associated with the user that includes n-grams extracted from transcriptions of previous queries spoken by the user, and generating, using a biasing context model configured to receive the voice query history data, a biasing context vector. the biasing context vector indicates a likelihood that each n-gram from the n-grams extracted from the transcriptions of the previous queries spoken by the user will appear in the current query. the method also includes augmenting the lattice of candidate hypotheses based on the biasing context vector and determining a transcription for the current query based on the augmented lattice of candidate hypotheses.
