View source for 18650864. VOICE RECOGNITION SYSTEM simplified abstract (Google LLC)

=VOICE RECOGNITION SYSTEM=


==Organization Name==

[[:Category:Google LLC|Google LLC]]


[[Category:Google LLC]]

==Inventor(s)==

[[:Category:Petar Aleksic of Jersey City NJ (US)|Petar Aleksic of Jersey City NJ (US)]][[Category:Petar Aleksic of Jersey City NJ (US)]]

[[:Category:Pedro J. Moreno Mengibar of Jersey City NJ (US)|Pedro J. Moreno Mengibar of Jersey City NJ (US)]][[Category: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 18650864 titled 'VOICE RECOGNITION SYSTEM

==Simplified Explanation==
The patent application describes methods, systems, and apparatus for voice recognition. It involves receiving a voice input, determining transcriptions for different segments of the input based on contextual information, and providing the transcriptions as output.

* Voice recognition technology
* Contextual analysis for transcription
* Segmentation of voice input
* Weight adjustment based on context
* Output of transcriptions for voice segments

==Key Features and Innovation==
* Utilizes contextual information for accurate transcription
* Adjusts weights based on context to improve transcription accuracy
* Segments voice input for better analysis
* Provides transcriptions for each segment of the voice input
* Incorporates advanced algorithms for voice recognition

==Potential Applications==
* Speech-to-text conversion in various industries
* Voice-controlled devices and applications
* Language translation services
* Accessibility tools for individuals with speech impairments
* Voice search and command systems

==Problems Solved==
* Improves accuracy of voice recognition systems
* Enhances transcription quality by considering context
* Facilitates better communication through voice technology
* Addresses challenges in accurately transcribing diverse voice inputs
* Enables efficient voice-based interactions in different settings

==Benefits==
* Enhanced user experience with voice recognition technology
* Increased efficiency in converting speech to text
* Improved accessibility for individuals with disabilities
* Streamlined communication through voice-controlled devices
* Advanced transcription capabilities for various applications

==Commercial Applications==
Voice recognition technology for transcription services in healthcare, legal, and business sectors. Market implications include improved productivity, accuracy, and user experience in voice-controlled devices and applications.

==Questions about Voice Recognition==
===How does contextual analysis improve transcription accuracy in voice recognition technology?===
Contextual analysis helps in understanding the meaning and context of the spoken words, leading to more accurate transcriptions by considering the surrounding information.

===What are the key factors influencing the weight adjustment process in voice recognition systems?===
The weight adjustment process in voice recognition systems is influenced by various factors such as the relevance of the context, the frequency of occurrence, and the impact on overall transcription accuracy.


==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.



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[[Category:G06F16/632]]
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[[Category:G10L15/183]]
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