Speech Recognition Engine for Centralized Conversation Search
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Solution Overview
Problem
Current technologies lack the ability to record and search audio from phone calls and face-to-face conversations, as well as visual data, in a centralized and searchable manner, unlike email conversations, which limits productivity and accessibility of information.
Innovation Solution
A system using a phone to record audio and visual data, with speech recognition capabilities, sending metadata and transcribed text to a centralized database, allowing for searching by date, time, location, and keywords, and enabling sharing of content via the internet.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If phone calls and face-to-face conversations are recorded, then a searchable repository of all conversations can be created, but the ability to search and retrieve conversation data efficiently is lost
Solution Approach 1:
The patent introduces speech recognition software as an intermediary component that automatically transcribes audio recordings into searchable text. This mediator converts the unsearchable audio format into a searchable format without requiring manual intervention, thus preserving searchability while avoiding the complexity of manual transcription systems
Solution Approach 2:
The patent replaces manual transcription and search mechanisms with automated speech recognition technology. Instead of mechanically searching through audio files or manually transcribing conversations, the system uses speech recognition to automatically convert speech to text and enable text-based searching, significantly reducing system complexity
2Ease of operation
If a centralized repository for all conversations is created, then information accessibility is improved, but privacy and security concerns worsen
Solution Approach 1:
The patent implements differential privacy protection where different levels of access and privacy settings are applied to different conversations and users. Each user can set their own privacy preferences for specific conversations, allowing highly accessible public conversations while maintaining strict privacy for sensitive personal conversations
Solution Approach 2:
The patent introduces privacy protection mechanisms as intermediaries between the centralized repository and users. These intermediaries include encryption layers, access control systems, and privacy filtering that protect sensitive information while still allowing authorized access to legitimate users
3Productivity
If speech recognition is implemented to enable searching, then search capability is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent performs speech recognition and transcription in advance during or immediately after the conversation occurs. By completing the transcription process beforehand, the system eliminates the need for real-time processing during search operations, allowing users to search transcribed conversations instantly without additional processing delays
Solution Approach 2:
The patent implements continuous speech recognition processing that operates in the background during conversations. Rather than pausing to transcribe, the system continuously processes speech into text in real-time, making the transcription process seamless and eliminating discrete processing time losses
Data Source
AI summary
A system and method for collecting data to obtain the data from a user, obtaining metadata for each word of the data from the user, and/or obtaining a searchable transcript of the data and a device to store the searchable transcript. The metadata may be date, time, name or location metadata and the data collection device may include a speech recognition engine to translate speech into searchable words. The speech recognition engine may provide a confidence level corresponding to the translation of the speech into searchable words, and the speech recognition engine may distinguish a first user and a second user in order to provide a first searchable transcript for the first user and a second searchable transcript for the second user. An ad transcript may be added to the searchable transcript, and the searchable transcript may be placed in a centralized community search database.


