Mobile Voice Gap Recovery via Text Transcript Reconstruction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Voice signals in mobile phone communication are often corrupted by noise, fading, and interference, leading to gaps in the received signal that disrupt conversations and require repetition.
Innovation Solution
A method that involves transmitting both voice and text signals, where the text signal is a transcript of the oral communication, allowing for detection and filling of gaps by generating audio data to reconstruct the received oral communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice signals are transmitted through wireless communication channels, then mobile phone communication is enabled, but the signals are corrupted by noise, fading, and interference causing gaps in the received signal
Solution Approach 1:
A text transcript serves as an intermediary representation of the voice signal. When the voice signal is corrupted or contains gaps, the text transcript acts as a mediator to recover the missing information. The text is extracted from the voice signal, used to identify gaps, and then converted back to audio to fill those gaps, effectively using the text as an intermediary to protect against signal corruption.
Solution Approach 2:
The invention creates a text copy of the voice signal through transcription. This text copy serves as a redundant representation that can be used to recover information when the original voice signal is corrupted. By converting the voice signal to text and back, the system creates a backup copy that protects against signal degradation.
2Reliability
If gaps are detected and filled by generating audio data from transcripts, then conversation continuity is improved, but system complexity increases
Solution Approach 1:
The voice signal is transcribed to text in advance, before transmission and potential corruption occurs. This preliminary conversion to text creates a robust representation that can withstand channel impairments. The text is then used to detect gaps and generate recovery audio, leveraging the pre-existing text copy to simplify the gap-filling process.
Solution Approach 2:
The system uses the text transcript as feedback to monitor the quality of the received voice signal. By comparing the transcribed text with the actual received audio, the system can detect gaps and determine when recovery is needed. This feedback mechanism enables automatic detection and correction of signal degradation.
Data Source
AI summary
Mobile phone signals may be corrupted by noise, fading, interference with other signals, and low strength field coverage of a transmitting and/or a receiving mobile phone as they pass through the communication network (e.g., free space). Because of the corruption of the mobile phone signal, a voice conversation between a caller and a receiver may be interrupted and there may be gaps in a received oral communication from one or more participants in the voice conversation forcing either or both the caller and the receiver to repeat the conversation. Transmitting a transcript of the oral communication along with a voice signal comprising the oral communication can help ensure that voice conversation is not interrupted due to a corrupted voice signal. The transcript of the oral communication can be used to retrieve parts of the oral communication lost in transmission (e.g., by fading, etc.) to make the conversation more fluid.