Dialogue Understandability Assessment Through ASR Reference Comparison
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Solution Overview
Problem
Conventional approaches to improving dialogue intelligibility in audio-visual content fail to assess whether consumers actually understand the dialogue after processing, leading to a quality control gap between consumer complaints and solution implementation.
Innovation Solution
Employing automatic speech recognition (ASR) and acoustic emulation to analyze and quantify dialogue intelligibility, generating reports that predict and improve dialogue understandability by compensating for factors like room acoustics, noise, and hearing impairments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional DSP techniques are used to boost vocal frequency range, then voice intelligibility is improved, but actual consumer understanding of dialogue remains unassessed and problematic
Solution Approach 1:
The patent implements a feedback mechanism where ASR technology converts dialogue audio to text, compares it against reference transcripts, and uses the accuracy metrics to assess whether DSP processing actually improved consumer understanding. This closed-loop feedback system allows continuous monitoring and adjustment of dialogue intelligibility processing to ensure it genuinely solves consumer complaints.
Solution Approach 2:
The patent replaces subjective human listening tests and conventional DSP metrics with automated speech recognition technology. The ASR system objectively measures dialogue intelligibility by converting audio to text and comparing with reference transcripts, providing reliable quantitative assessment that supersedes traditional mechanical DSP measurement approaches.
2Difficulty of detecting and measuring
If DSP processing is applied to enhance dialogue, then voice frequency range is improved, but actual comprehension by consumers remains unknown
Solution Approach 1:
The patent introduces ASR technology as an intermediary between the audio processing system and consumer understanding assessment. The ASR system acts as a mediator that converts dialogue audio into text representations, which can then be objectively compared against reference transcripts to verify whether consumers would actually understand the processed dialogue.
Solution Approach 2:
The patent creates text copies of the dialogue audio through ASR transcription. These text copies serve as measurable representations of the audio content, allowing objective assessment of intelligibility by comparing the generated transcripts against reference transcripts, thereby preventing loss of understanding verification information.
3Productivity
If conventional QC methods are used, then processing efficiency is maintained, but gap between consumer complaints and solution effectiveness persists
Solution Approach 1:
The patent implements a self-service system where the ASR technology automatically assesses dialogue intelligibility without requiring manual listening tests or subjective evaluation. The system processes dialogue audio, generates transcripts, compares them against references, and produces intelligibility metrics autonomously, maintaining high productivity while dramatically improving measurement precision.
Data Source
AI summary
A method comprises: obtaining a mixed soundtrack that includes dialogue mixed with non-dialogue sound; converting the mixed soundtrack to comparison text; obtaining reference text for the dialogue as a reference for intelligibility of the dialogue; determining a measure of intelligibility of the dialogue of the mixed soundtrack to a listener based on a comparison of the comparison text against the reference text; and reporting the measure of intelligibility of the dialogue.