Comcast Cable Communications, LLC (20240331704). CACHING SCHEME FOR VOICE RECOGNITION ENGINES simplified abstract
Contents
- 1 CACHING SCHEME FOR VOICE RECOGNITION ENGINES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CACHING SCHEME FOR VOICE RECOGNITION ENGINES - 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 Recognition Technology
- 1.13 Original Abstract Submitted
CACHING SCHEME FOR VOICE RECOGNITION ENGINES
Organization Name
Comcast Cable Communications, LLC
Inventor(s)
Hongcheng Wang of Falls Church VA (US)
CACHING SCHEME FOR VOICE RECOGNITION ENGINES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240331704 titled 'CACHING SCHEME FOR VOICE RECOGNITION ENGINES
Simplified Explanation
A cache associated with a voice recognition engine can analyze audio files of voice queries to match them with stored audio transcriptions, allowing for faster processing of common queries.
- The cache receives audio files of voice queries.
- It creates audio fingerprints based on the audio files.
- It compares these fingerprints with stored audio transcriptions.
- When a match is found, the corresponding transcription is used to process the query.
Key Features and Innovation
- Use of audio fingerprints to match voice queries with stored transcriptions.
- Accelerated processing of common voice queries.
- Integration of cache technology with voice recognition engines for improved efficiency.
Potential Applications
This technology can be applied in:
- Virtual assistants
- Call centers
- Voice-controlled devices
Problems Solved
- Speeding up the processing of voice queries.
- Enhancing the accuracy of voice recognition systems.
- Reducing the computational load on servers.
Benefits
- Improved user experience with faster responses to voice queries.
- Increased efficiency in handling common voice commands.
- Enhanced performance of voice recognition engines.
Commercial Applications
- Optimizing customer service interactions in call centers.
- Enhancing the functionality of virtual assistants in various devices.
- Streamlining voice-controlled operations in smart home systems.
Prior Art
Researchers can explore prior art related to audio fingerprinting technology, automated speech recognition, and cache optimization in voice recognition systems.
Frequently Updated Research
Stay updated on advancements in audio fingerprinting technology, automated speech recognition algorithms, and cache management techniques in voice recognition systems.
Questions about Voice Recognition Technology
How does audio fingerprinting technology improve the efficiency of voice recognition systems?
Audio fingerprinting technology allows for quick matching of voice queries with stored transcriptions, reducing processing time and improving system performance.
What are the potential challenges in implementing cache technology in voice recognition engines?
Implementing cache technology in voice recognition engines may require addressing issues related to data storage, synchronization, and security to ensure seamless integration and optimal performance.
Original Abstract Submitted
a cache associated with a voice recognition engine may be configured to receive an audio file corresponding to a voice query. the voice query may be received by the voice recognition engine from a user device in response to receipt of the voice query by the user device at the user device. the cache may be configured to determine an audio fingerprint based on the audio file and to determine whether the audio fingerprint corresponds to one of a plurality of audio transcriptions stored in the cache. the audio transcriptions may correspond to popular voice queries received at the voice recognition engine and processed by a server capable of performing automated speech recognition. in response to determining that the audio fingerprint corresponds to a given one of the stored audio transcriptions, the audio file may be processed based on the stored audio transcription.
