Speech Audio Replacement for Personalized Media Content
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Solution Overview
Problem
Existing media content systems fail to provide personalized and engaging content tailored to individual user preferences, particularly in modifying audio content to suit different age groups or language preferences.
Innovation Solution
A content system that extracts speech audio content, generates corresponding text, replaces words with appropriate alternatives, and synthesizes modified audio content, ensuring synchronization with the original media content for tailored presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If media content is provided as-is without modification, then the content maintains its original quality and authenticity, but it fails to be personalized or tailored to individual user preferences
Solution Approach 1:
The audio content is segmented into individual words or phrases, allowing selective replacement of specific segments while maintaining the rest of the audio content. This enables personalization without requiring complete reprocessing of the entire media file.
Solution Approach 2:
A text-based intermediary representation is introduced between the original audio and the modified audio. The system transcribes audio to text, applies replacement rules to the text, and then synthesizes new audio from the modified text, using text as a mediator to achieve precise control over content modification.
2Productivity
If audio content is modified to suit different age groups or language preferences, then user engagement and satisfaction are enhanced, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary transcription of audio content to text and pre-identifies replaceable segments before the actual modification is needed. This allows rapid replacement of audio segments during playback without requiring complete reprocessing of the entire audio file.
Solution Approach 2:
Instead of processing the entire audio content from scratch, the system applies partial action by only processing and replacing specific segments that need modification, leaving the rest of the audio content unchanged and unprocessed.
3Manufacturing precision
If speech audio content is extracted and modified through text generation and replacement, then appropriate words can be replaced with alternatives, but the complexity of the processing pipeline increases
Solution Approach 1:
The system replaces direct audio processing with a text-based mechanism. Instead of manipulating audio waves directly, the system converts audio to text, applies textual replacement rules, and synthesizes new audio. This substitution enables precise word-level control while simplifying the overall processing architecture.
Solution Approach 2:
Text serves as an intermediary representation that bridges the original audio content and the desired modified audio. This intermediary layer enables accurate word replacement by providing a discrete, manipulable representation of the audio content that can be precisely edited and then converted back to audio.
Data Source
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AI summary
In one aspect, an example method includes (i) obtaining media content; (ii) extracting from the obtained media content, audio content representing speech; (iii) using the extracted audio content representing speech as a basis to generate corresponding speech text; (iv) replacing one or more words of the generated speech text with one or more corresponding replacement words, thereby generating modified speech text; (v) using the modified speech text as a basis to generate corresponding replacement audio content representing the modified speech; (vi) in the obtained media content, replacing the audio content representing speech with the generated replacement audio content representing speech, thereby generating modified media content; and (vii) outputting for presentation the generated modified media content.