Voice Modification System for Dialect Conversion
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Solution Overview
Problem
Individuals with different accents and dialects often face difficulties in understanding each other during telephone calls, particularly in business or technical support contexts, due to the lack of visual cues and varying audio quality.
Innovation Solution
A method and apparatus for voice modification during calls, which detects the dialect of participants, selects a target dialect based on characteristics, and modulates the audio signal to improve understanding by converting the voice to match the target dialect, using a detection module, conversion module, and modulation module within an IP telephony system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If participants speak in their native dialects, then communication authenticity is maintained, but understanding between participants from different regions deteriorates
Solution Approach 1:
The patent introduces a dialect conversion system that acts as an intermediary between participants speaking different dialects. The system detects the source dialect, converts it to a target dialect, and transmits the converted speech, enabling mutual understanding while preserving the original communication intent and authenticity.
Solution Approach 2:
The system changes the linguistic parameters of the audio signal by detecting dialect characteristics and applying transformations to convert between dialects. This involves analyzing phonetic, lexical, and grammatical parameters and adjusting them to match the target dialect while maintaining the core message.
2Loss of information
If dialect conversion is applied to all participants, then mutual understanding is improved, but system complexity increases
Solution Approach 1:
The dialect conversion system is designed as a universal platform that can handle multiple dialects and languages through a single integrated architecture. The system includes a dialect detector, converter, and transmitter that work together to provide multi-functional dialect transformation capabilities, reducing the need for separate systems for each dialect pair.
Solution Approach 2:
The system applies dialect conversion selectively rather than universally to all participants. It detects when dialect conversion is needed based on the participants' dialects and applies conversion only in those cases, avoiding unnecessary processing and system complexity when participants already share a common dialect.
3Loss of information
If real-time dialect conversion is implemented, then communication effectiveness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by detecting dialects and preparing conversion parameters before the actual conversion process. This pre-processing includes identifying the source and target dialects, selecting appropriate conversion models, and configuring the transmission parameters, which streamlines the real-time conversion process.
Solution Approach 2:
The dialect conversion system operates continuously during the call, maintaining a steady state of detection, conversion, and transmission. This continuous operation allows the system to optimize processing efficiency and minimize delays by keeping the conversion pipeline actively engaged rather than starting and stopping processing for each speech segment.
Data Source
AI summary
A method for voice modification during a telephone call comprising receiving a source audio signal associated with at least one participant, wherein the source audio signal comprises a voice of the at least one participant, detecting a source dialect of the at least one participant, selecting a target dialect based on at least a characteristic of a target participant and creating a modulated audio signal based on the source audio signal, the source dialect, and the target dialect and transmitting the modulated audio signal to the target participant.