Audio Manipulation Manager Voice Transformation Karaoke
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Solution Overview
Problem
Users of karaoke applications face challenges in emulating the singing style of original singers due to voice mismatch, which can lead to a poor user experience and reduced satisfaction.
Innovation Solution
An audio manipulation manager is implemented in a media device to transform a user's voice to match the singing style of the original singer by using a voice modulation algorithm, which adjusts the user's tone and pitch to match the original singer's voice category.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users sing along to original songs without voice transformation, then the karaoke application is simple to operate, but the user experience deteriorates due to voice mismatch with the original singer
Solution Approach 1:
The patent replaces traditional mechanical voice matching systems with digital signal processing and neural network-based voice transformation. The audio manipulation manager uses algorithms to analyze and transform voice characteristics, substituting physical voice matching mechanisms with computational methods that can dynamically adjust tone and pitch to match the original singer's voice category.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting voice characteristics such as tone, pitch, and timbre through audio processing. The system transforms the user's voice parameters to align with the target singer's voice parameters, enabling realistic voice emulation without requiring the user to physically alter their singing style.
2Reliability
If karaoke equipment includes multiple components like instruments, speakers, and microphones, then the audio quality is improved, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing a media device that performs multiple functions within a single integrated system. The device combines music playback, voice recording, real-time voice transformation, and audio output capabilities, eliminating the need for separate karaoke equipment components while maintaining high audio quality through software-based processing.
Solution Approach 2:
The patent replaces traditional mechanical karaoke equipment (separate microphones, amplifiers, and speakers) with an integrated digital system. The audio manipulation manager and voice transformation algorithms substitute for complex hardware setups, enabling high-quality karaoke experiences through software-based audio processing and synthesis.
3Reliability
If users try to change their pitch and tone to match the original singer, then the voice matching may be improved, but the ease of operation deteriorates due to requiring proper experience
Solution Approach 1:
The patent applies self-service by enabling the system to automatically perform voice transformation without requiring user intervention or expertise. The audio manipulation manager autonomously analyzes the user's voice, identifies the target singer's voice characteristics, and applies the necessary transformations, allowing users to achieve professional-grade voice emulation without training or experience.
Solution Approach 2:
The patent replaces the mechanical process of users manually adjusting their pitch and tone with automated digital voice transformation. The system uses algorithms to detect and correct voice mismatches, substituting the need for user skill with intelligent software that automatically emulates the target singer's voice characteristics.
Data Source
AI summary
In aspects of audio manipulation of emulated content, a media device includes a memory for storing original audio content. The media device also implements an audio manipulation manager that can receive input audio content that emulates the original audio content. The audio manipulation manager also receives metadata associated with the original audio content that includes a content creator voice category associated with the original audio content. The audio manipulation manager can also determine a user voice category from the input audio content, and then transform the input audio content to manipulated audio content by changing the user voice category to the content creator voice category. To change the user voice category to the content creator voice category, the audio manipulation manager changes a user tone and a user pitch to a content creator tone and a content creator pitch.