Voice Learning Apparatus Selective Sentence Replay and Resume

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Solution Overview

Problem

Conventional voice learning apparatuses fail to allow users to effectively understand and review specific example sentences within voice learning materials, leading to decreased learning effectiveness when users stop or pause voice output.

Innovation Solution

A voice learning apparatus with a learning-material voice storage unit, text storage unit, display controller, voice output controller, example sentence specifying unit, and restart unit, enabling users to specify and re-output example sentences and resume voice learning from the last stopped position.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users stop or pause voice output to understand specific example sentences, then learning effectiveness for specific sentences is improved, but learning efficiency and time consumption worsen

Engineering Contradiction:

Improveunderstanding accuracyVSAvoidlearning time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The voice learning material is segmented into individual example sentences that can be independently selected and repeated. Users can specify particular example sentences for focused practice without having to replay entire content, enabling precise targeting of learning needs while maintaining overall progress.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system automatically tracks the last stopped position and prepares to resume from that point. This preliminary preparation eliminates the need for users to manually track their progress or search for where to continue, saving time while allowing focused review of specific sentences.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If users repeatedly output specific example sentences for better understanding, then comprehension of key sentences is improved, but learning progress through entire material slows down

Engineering Contradiction:

Improvecomprehension accuracyVSAvoidlearning speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system dynamically adapts between two modes: focused repetition of specified example sentences and continuous playback of entire material. Users can flexibly switch between these modes based on their immediate learning needs, allowing intensive practice of difficult sentences while maintaining overall learning momentum.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system maintains continuous learning progress by automatically resuming from the last stopped position after example sentence practice. This ensures that focused repetition activities are integrated into the overall learning flow without creating gaps or losing place in the material.

Inventive Principle:

Principle #20Continuity of useful action

3Reliability

If voice output is restarted from beginning after pausing, then learning completeness is improved, but time efficiency deteriorates

Engineering Contradiction:

Improvelearning completenessVSAvoidreplay time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system automatically records and remembers the last stopped position during voice output. When users resume learning, the system proactively restarts from this pre-calculated position rather than requiring manual intervention or replaying from the beginning, eliminating wasted time while ensuring complete coverage of material.

Inventive Principle:

Principle #10Preliminary action

4Productivity

If entire voice learning material is played without interruptions, then learning efficiency is improved, but understanding of specific example sentences deteriorates

Engineering Contradiction:

Improvelearning efficiencyVSAvoidsentence understanding

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The learning material is divided into discrete example sentence units that can be individually targeted. Users can specify particular sentences for focused practice while the system maintains tracking of overall progress, enabling both efficient completion of material and deep understanding of specific sentences through selective repetition.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS9483953B2Voice learning apparatus, voice learning method, and storage medium storing voice learning program

Publication Date: 2016.11.01 CASIO COMPUTER CO LTD

AI summary

A voice learning apparatus includes a learning-material voice storage unit that stores learning material voice data including example sentence voice data; a learning text storage unit that stores a learning material text including an example sentence text; a learning-material text display controller that displays the learning material text; a learning-material voice output controller that performs voice output based on the learning material voice data; an example sentence specifying unit that specifies the example sentence text during the voice output; an example-sentence voice output controller that performs voice output based on the example sentence voice data associated with the specified example sentence text; and a learning-material voice output restart unit that restarts the voice output from a position where the voice output is stopped last time, after the voice output is performed based on the example sentence voice data.