Neural Beat Synthesis Aligned With Music Pitch and Timing
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Solution Overview
Problem
Existing audio tracks that do not include neural beats may not appeal to users seeking mental state benefits, and existing systems for adding neural beats to audio tracks are limited in flexibility and compatibility with user preferences.
Innovation Solution
A system that analyzes the pitch characteristics of a digital audio file to select carrier frequencies for neural beats, synthesizing them in real-time or offline to blend with the audio track, ensuring synchronization with musical harmonies and volume levels to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional beat-making methods are used, then human creativity and musical intuition are applied, but the process is time-consuming and labor-intensive
Solution Approach 1:
The system performs beat generation autonomously by analyzing the audio file's tempo, rhythm, and genre characteristics, then automatically creating synchronized neural beats without requiring human beat-makers to manually construct each beat from scratch
Solution Approach 2:
The patent replaces the mechanical process of manual beat-making with an automated computational system that uses audio analysis and machine learning algorithms to generate beats, substituting human manual labor with an automated digital system
2Reliability
If beats are generated without synchronization to audio files, then creation freedom is maintained, but tonal compatibility and rhythmic alignment are compromised
Solution Approach 1:
The system analyzes the audio file's tempo, rhythm, and musical characteristics, then uses this feedback information to adjust and synchronize the generated neural beats, ensuring they align tonally and rhythmically with the original audio content
Solution Approach 2:
The system performs multiple functions including audio analysis, tempo detection, rhythm identification, and beat generation within a single integrated platform, making it adaptable to various audio files and genres while maintaining synchronization
3Manufacturing precision
If extensive manual editing is performed on generated beats, then precision and quality are improved, but production time and labor costs increase
Solution Approach 1:
The system performs preliminary beat generation that is already synchronized and tonally compatible with the audio file, pre-adjusting tempo and rhythm alignment before final output, thereby reducing the need for subsequent manual editing while maintaining high precision
Data Source
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AI summary
Methods and systems for improved neural beat generation for digital audio files are provided. In one embodiment the method is provided that includes receiving a digital audio file and a beat frequency for a neural beat. Chromagram features may be extracted from the digital audio file and may be used to identify dominant pitch classes at a plurality of timestamps within the digital audio file. A plurality of carrier frequencies at different time periods within the digital audio file may be selected based on the dominant pitch classes. A neural beat may be synthesized for the digital audio file based on the beat frequency in the plurality of carrier frequencies. The neural beat may be stored and/or may be combined with the digital audio file to generate a combined audio track, which may be stored.