Speech Recognition Grammar Limiting for Audio Metadata

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Solution Overview

Problem

As the number of indexed audio files grows, speech recognition systems face increased memory requirements and latency, leading to decreased recognition accuracy, necessitating a method to limit speech-based access to audio metadata databases effectively.

Innovation Solution

Implementing a system with processors, microphones, memory modules, and machine-readable instructions that determine when the audio metadata database reaches a threshold size, limiting access to audio metadata entries to reduce memory requirements and enhance system performance by restricting accessible entries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If the number of indexed audio files is increased to provide more comprehensive audio library access, then the quantity of audio metadata entries increases, but memory requirements increase and recognition accuracy decreases

Engineering Contradiction:

Improvenumber of audio metadata entriesVSAvoidrecognition accuracy

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system dynamically adjusts the size of the speech recognition grammar based on the number of audio metadata entries. When the database exceeds a threshold size, the system automatically limits the grammar to a subset of entries, creating a dynamic adaptation mechanism that maintains optimal performance while accommodating growing libraries

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the parameter of grammar size based on database quantity. By monitoring the number of audio metadata entries and adjusting the grammar scope accordingly, the system optimizes the balance between available audio content and recognition performance, preventing degradation of accuracy due to excessive data volume

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If the number of indexed audio files is increased to provide more comprehensive audio library access, then the quantity of audio metadata entries increases, but latency increases

Engineering Contradiction:

Improvenumber of audio metadata entriesVSAvoidlatency

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The system dynamically adjusts the grammar size based on the number of audio metadata entries. When the database exceeds a threshold size, the system automatically limits the grammar to a subset of entries, creating a dynamic adaptation mechanism that maintains optimal performance while accommodating growing libraries

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses partial action by loading only a subset of audio metadata entries into the speech recognition grammar at any given time, rather than all entries. This partial loading approach reduces processing time and latency while still providing access to a significant portion of the audio library

Inventive Principle:

Principle #16Partial or excessive action

3Quantity of substance

If the number of indexed audio files is increased to provide more comprehensive audio library access, then the quantity of audio metadata entries increases, but memory requirements increase

Engineering Contradiction:

Improvenumber of audio metadata entriesVSAvoidmemory requirements

Core Design Contradiction:

Quantity of substanceVSWeight of stationary object

Solution Approach 1:

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system extracts only the necessary audio metadata entries into the speech recognition grammar based on usage patterns and database size. By taking out only the essential entries rather than loading everything, the system reduces memory requirements while maintaining functional capability

Inventive Principle:

Principle #2Taking out (Extraction)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach reduces memory needs and latency by limiting accessible audio metadata entries, thereby improving system performance and maintaining recognition accuracy even with large databases.

Implementation Method 1

The microphone receives acoustic vibrations. When executed by the one or more processors, the machine readable instructions cause the speech recognition system to transform the acoustic vibrations received by the microphone into a speech input signal

Methodology Applied

Scientific EffectElectroacoustic conversion:

Data Source

PatentUS9620148B2Systems, vehicles, and methods for limiting speech-based access to an audio metadata database

Publication Date: 2017.04.11 TOYOTA JIDOSHA KK

AI summary

Systems, vehicles, and methods for limiting speech-based access to an audio metadata database are described herein. Audio metadata databases described herein include a plurality of audio metadata entries. Each audio metadata entry includes metadata information associated with at least one audio file. Embodiments described herein determine when a size of the audio metadata database reaches a threshold size, and limit which of the plurality of audio metadata entries may be accessed in response to the speech input signal when the size of the audio metadata database reaches the threshold size.