Audio Transformation Model for Clean Speech From Noisy Recordings
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Solution Overview
Problem
The need for professional audio equipment and studio environments to produce high-quality voice recordings limits accessibility for many individuals.
Innovation Solution
An enhanced audio file generator using machine learning models to transform input audio files, extracting parameters and synthesizing clean speech, allowing users to generate high-quality recordings on mobile devices without professional equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professional audio equipment and studio environments are used, then audio recording quality is improved, but accessibility and ease of operation deteriorate
Solution Approach 1:
The patent replaces physical audio processing equipment (microphones, mixers, soundproofing) with a software-based neural network system that runs on mobile devices. The neural network model processes audio signals algorithmically to achieve studio-quality enhancement without requiring specialized hardware infrastructure.
Solution Approach 2:
The system creates a virtual copy of professional studio processing capabilities through machine learning models trained on professional audio data. The neural network learns to replicate the effect of professional equipment and studio environments, allowing ordinary devices to produce professional-quality output.
2Manufacturing precision
If professional audio equipment is used, then audio recording quality is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple professional audio processing functions (noise reduction, echo cancellation, equalization, compression) into a single integrated neural network model. This unified system performs all enhancements simultaneously through one software application, eliminating the need for multiple separate devices and complex signal chains.
Solution Approach 2:
The neural network system provides universal audio enhancement capabilities that work across different recording scenarios (voice messages, podcasts, calls, videos) and various input devices. The single system adapts to different audio inputs and applies appropriate processing, replacing multiple specialized tools.
Data Source
AI summary
This disclosure is directed to an enhanced audio file generator. One aspect is a method of enhancing input speech in an input audio file, the method comprising receiving the input audio file representing the input speech, wherein the input audio file is recorded at an audio recording device, and generating an enhanced audio file by applying an audio transformation model to the input audio file, wherein applying the audio transformation model to generate the enhanced audio file comprises extracting parameters defining audio features from the input audio file, the parameters including a noise parameter defining noise in the input audio file and one or more other preset parameters respectively defining other audio features, synthesizing clean speech based on the extracted parameters including the noise parameter, wherein synthesizing the clean speech comprises transforming the noise parameter to defined value(s); and generating the enhanced audio file with the synthesized clean speech.