Smart Dictation Transcription Modification Element

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Solution Overview

Problem

Existing automated assistants require users to explicitly include arrangement operations in spoken utterances for transcription, leading to increased user inputs and computational resources, and may still make errors that require manual correction.

Innovation Solution

An automated assistant that generates textual data from spoken utterances and automatically arranges transcriptions, providing a modification selectable element that allows users to quickly and efficiently correct inadvertent automatic arrangements through touch input.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If users explicitly include arrangement operations in spoken utterances for transcription, then transcription formatting accuracy is improved, but user input quantity and computational resource consumption increase

Engineering Contradiction:

Improvetranscription formatting accuracyVSAvoiduser input quantity

Core Design Contradiction:

Manufacturing precisionVSQuantity of substance

Solution Approach 1:

The automated assistant performs automatic arrangement operations on transcriptions without requiring explicit user commands. The system analyzes the transcription content and automatically applies appropriate formatting, punctuation, and structure, allowing the system to serve itself rather than requiring continuous user direction.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs arrangement operations in advance during the transcription generation process itself, rather than requiring separate user commands afterward. By anticipating needed formatting adjustments and applying them proactively, the system reduces the need for subsequent correction inputs from users.

Inventive Principle:

Principle #10Preliminary action

2Quantity of substance

If automated assistants automatically arrange transcriptions, then user input quantity is reduced, but arrangement accuracy may deteriorate due to errors

Engineering Contradiction:

Improveuser input quantityVSAvoidarrangement accuracy

Core Design Contradiction:

Quantity of substanceVSManufacturing precision

Solution Approach 1:

The system incorporates feedback mechanisms where user corrections to automatically arranged transcriptions are analyzed and used to improve future automatic arrangement decisions. The system learns from user interactions and adjusts its arrangement strategies to better match user preferences and reduce errors over time.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The automatic arrangement system is designed to be dynamic and adaptive rather than rigid. It can adjust its arrangement strategies based on context, document type, and learned user preferences, allowing it to improve accuracy while maintaining automation. The system evolves its behavior based on accumulated experience.

Inventive Principle:

Principle #15Dynamics

3Manufacturing precision

If users manually manipulate textual data with additional arrangement operations, then transcription formatting accuracy is improved, but dictation session duration increases

Engineering Contradiction:

Improvetranscription formatting accuracyVSAvoiddictation session duration

Core Design Contradiction:

Manufacturing precisionVSDuration of action of moving object

Solution Approach 1:

The system enables users to skip the manual correction step entirely by providing confidence indicators that allow acceptance of automatic arrangements without review when confidence is high. This rushing through of potentially unnecessary correction steps reduces overall session duration while maintaining accuracy when the system is confident in its automatic arrangements.

Inventive Principle:

Principle #21Skipping (Rushing through)

4Manufacturing precision

If automated assistants perform additional processing to determine user intent for arrangement operations, then transcription formatting accuracy is improved, but computational resource consumption increases

Engineering Contradiction:

Improvetranscription formatting accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The system applies partial processing by focusing computational resources only on portions of the transcription that require arrangement attention, rather than uniformly processing entire transcripts. By identifying and targeting only the necessary segments for arrangement operations, the system reduces overall computational resource consumption while maintaining formatting accuracy where needed.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12266359B2System(s) and method(s) to enable modification of an automatically arranged transcription in smart dictation

Publication Date: 2025.04.01 GOOGLE LLC

AI summary

Implementations described herein generally relate to generating a modification selectable element that may be provided for presentation to a user in a smart dictation session with an automated assistant. The modification selectable element may, when selected, cause a transcription, that includes textual data generated based on processing audio data that captures a spoken utterance and that is automatically arranged, to be modified. The transcription may be automatically arranged to include spacing, punctuation, capitalization, indentations, paragraph breaks, and/or other arrangement operations that are not specified by the user in providing the spoken utterance. Accordingly, a subsequent selection of the modification selectable element may cause these automatic arrangement operation(s), and/or the textual data locationally proximate to these automatic arrangement operation(s), to be modified. Implementations described herein also relate to generating the transcription and/or the modification selectable element on behalf of a third-party software application.