Keyword-Triggered Audio Effect Processing in Voice Applications
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Solution Overview
Problem
Existing voice markup languages like VoiceXML and SSML do not allow users to insert commands or process spoken utterances for additional audio effects, limiting interactive voice applications.
Innovation Solution
A method that uses speech recognition to identify keywords in spoken utterances, associate them with functions, and execute these functions to modify audio files, enabling the integration of audio effects during playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If VoiceXML or SSML markup languages are used for voice applications, then standardization and portability are improved, but the ability to insert commands for processing spoken utterances and adding audio effects is lost
Solution Approach 1:
The patent introduces an intermediary processing layer that sits between the voice input and the standard VoiceXML/SSML markup languages. This intermediary layer captures spoken utterances, identifies keywords, and inserts appropriate commands or processing instructions into the markup language structure. This allows the system to maintain compatibility with standardized voice markup while adding the capability to process spoken utterances and apply audio effects through the intermediary keyword recognition layer.
2Ease of operation
If speech recognition is used to identify keywords in spoken utterances, then interactive voice processing is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by performing speech recognition selectively rather than on entire spoken utterances. The system identifies and processes only specific keywords or key phrases that trigger particular functions or audio effects, while leaving the rest of the utterance to be handled by standard voice processing pipelines. This selective approach significantly reduces processing time and computational resources while maintaining the core interactive voice processing capability.
3Ease of operation
If audio effects are added to spoken utterances through verbal commands, then user experience is improved, but the reliability of accurate keyword recognition decreases
Solution Approach 1:
The patent applies local quality by optimizing keyword recognition for specific contexts and locations within the spoken utterance. Rather than attempting uniform high-accuracy recognition across all possible keywords, the system focuses recognition resources on specific command phrases and trigger words that are most critical for initiating audio effects. The recognition accuracy is tailored to the local context of each keyword, with higher precision applied to command-triggering words and more tolerant recognition for other portions of the utterance.
Data Source
AI summary
A system receives a spoken utterance, identifies at least one keyword within the spoken utterance, and identifies a function using the identified at least one keyword. The system further performs the identified function on at least a portion of the spoken utterance to create a voice file.