Voice Translation Device Automatic Direction Detection
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Solution Overview
Problem
Existing voice translation devices require manual setting of translation direction, which can be inconvenient during conversations between speakers using different languages, and may lead to incorrect translation if not properly set.
Innovation Solution
A portable device and method that automatically determines the translation direction by segmenting voice signals, identifying languages, and assigning speakers, allowing for real-time translation without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual setting of translation direction is used, then translation accuracy can be controlled, but convenience deteriorates as translation direction needs to be constantly changed during conversation
Solution Approach 1:
The system automatically determines translation direction by analyzing voice segments, language identification, and speaker recognition without requiring manual intervention. The processor autonomously selects source and target languages based on detected speech characteristics, eliminating the need for users to manually set translation direction during conversations.
Solution Approach 2:
The system performs language identification and speaker recognition analysis in advance before translation is needed. By pre-determining the translation direction based on the detected language and speaker characteristics, the system prepares the translation configuration beforehand, so no manual setting is required when the actual translation occurs.
2Ease of operation
If automatic setting of translation direction is used, then convenience improves, but reliability may deteriorate if translation direction is not correctly set
Solution Approach 1:
The system continuously monitors and analyzes voice segments, language characteristics, and speaker identification results to dynamically adjust and verify translation direction selection. This feedback mechanism ensures that the automatic translation direction determination is based on real-time accurate detection of speech language and speaker identity, maintaining high reliability.
Solution Approach 2:
The system replaces manual mechanical setting with automated computational analysis using language identification algorithms and speaker recognition models. The processor uses digital signal processing and pattern recognition to automatically determine translation direction, substituting human decision-making with objective computational methods that maintain accuracy.
3Measurement precision
If voice signal is divided into multiple segments, then language identification accuracy improves, but device complexity increases
Solution Approach 1:
The voice signal is divided into multiple voice segments based on time frames or speech pauses. This segmentation allows the system to analyze each segment individually for language identification and speaker recognition, improving accuracy by processing smaller, more manageable units of audio data that contain distinct linguistic characteristics.
Solution Approach 2:
The system processes only the necessary portions of the voice signal (relevant segments containing speech) while filtering out unnecessary parts (silences, noise). By focusing analysis on partial segments that contain meaningful speech content, the system achieves high identification accuracy without processing the entire continuous signal, reducing computational complexity.
Data Source
AI summary
Provided are a method and electronic device for voice translation. The electronic device includes a voice receiver configured to receive a voice signal; a processor configured to divide the voice signal into a plurality of voice segments, determine an input language and a speaker that correspond to each of the plurality of voice segments, determine a translation direction based on the input language and the speaker of the voice segments, and translate the voice segments according to the translation direction to generate a translation result; and an output device configured to output the translation result.