Google llc (20240282309). VOICE RECOGNITION SYSTEM simplified abstract
Contents
VOICE RECOGNITION SYSTEM
Organization Name
Inventor(s)
Petar Aleksic of Jersey City NJ (US)
Pedro J. Moreno Mengibar of Jersey City NJ (US)
VOICE RECOGNITION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240282309 titled 'VOICE RECOGNITION SYSTEM
The abstract describes methods, systems, and apparatus for voice recognition, including computer programs encoded on a computer storage medium. One aspect of the method involves receiving a voice input and determining a transcription for the voice input. This determination includes obtaining candidate transcriptions for segments of the voice input, adjusting weights for contexts associated with the candidate transcriptions, and providing the transcription of the segments for output.
- Voice recognition method with context-based transcription determination
- Adjusting weights for contexts to improve transcription accuracy
- Computer programs encoded on a storage medium for voice recognition
- Segmenting voice input for transcription determination
- Providing accurate transcriptions for output
Potential Applications: - Speech-to-text software for transcription services - Voice-activated virtual assistants - Hands-free communication devices for individuals with disabilities
Problems Solved: - Improving accuracy in voice recognition systems - Enhancing transcription quality for various applications
Benefits: - Increased efficiency in transcribing voice inputs - Enhanced user experience with voice recognition technology
Commercial Applications: Title: Context-Based Voice Recognition Technology for Enhanced Transcription Accuracy This technology can be utilized in transcription services, virtual assistants, and communication devices, catering to a wide range of industries such as healthcare, customer service, and education.
Questions about Voice Recognition Technology: 1. How does context-based transcription improve the accuracy of voice recognition? Context-based transcription takes into account various contexts associated with candidate transcriptions, adjusting weights to provide a more accurate transcription for voice inputs.
2. What are the potential limitations of context-based transcription in voice recognition technology? Context-based transcription may face challenges in accurately determining the appropriate weights for different contexts, leading to potential errors in transcription.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for voice recognition. in one aspect, a method includes the actions of receiving a voice input; determining a transcription for the voice input, wherein determining the transcription for the voice input includes, for a plurality of segments of the voice input: obtaining a first candidate transcription for a first segment of the voice input; determining one or more contexts associated with the first candidate transcription; adjusting a respective weight for each of the one or more contexts; and determining a second candidate transcription for a second segment of the voice input based in part on the adjusted weights; and providing the transcription of the plurality of segments of the voice input for output.
