Cloud-centric, AI-powered audio processing system for real-time musical tuning and recommendations

Abstract

An AI-powered, real-time audio processing device that includes the following: ◯ a Neural Sound Processing Unit (NSPU) for in-device AI-based pitch correction and frequency modulation; ◯ a cloud-based AI model for harmonic balancing, multi-track separation and intelligent sound recommendations. ◯ a noise reduction system with AI-powered background noise suppression and echo cancellation. ◯ Cloud-integrated storage and bidirectional real-time streaming of AI-enhanced audio. ◯ a multi-interface connectivity module that supports WiFi 6, Bluetooth 5.0 and USB-C.

Description

SCOPE OF THE INVENTIONThe present invention relates to an AI-controlled sound processing apparatus for improving the musical tuning in real time and providing intelligent recommendations. Specifically, it is an AI-controlled smart sound box that enables real-time recording and mood correction, automatic pitch corrections, noise suppression, and generic music suggestions. The smart sound box may be seamlessly integrated into the cloud infrastructure to enable real-time storage and advanced music processing. This system has been developed for musicians, competitors, producers and content creators who search an automated AI-based sound processing system to improve the efficiency of the operation and the accuracy of the shots.BACKGROUNDConventional sound recording and processing processes require several takes and extensive post-processing steps to achieve high sound quality. Musicians often rely on external software for corrections and improvements, making the process time consuming and inefficient. Current solutions do not provide real-time feedback and require manual intervention, leading to inconsistencies in performance quality. The AI-controlled smart sound box solves these challenges by integrating AI-controlled real-time sounds, cloud connectivity, and smart music recommendations to improve performance quality and optimize music production.SUMMARY OF THE INVENTIONThe AI-controlled smart sound box is an AI-controlled audio processing system integrated into the cloud that enables real-time improvements in live events or studio recordings. Unlike conventional digital audio workstations (DACs) that require post production adjustments, this device provides dynamic AI-controlled tuning, noise suppression, dynamic range compression, and gread responsive sound improvements. The use of a hybrid cloud edge processing approach ensures that musicians and sound engineers are given immediate AI-based feedback, thereby significantly improving recording efficiency and performance quality.The smart sound box applies real-time preprocessing with an integrated AI engine (Edge AI) before employing cloud-based deep learning models. The on-board AI performs low latency signal processing tasks, e.g., pitch correction, background noise suppression, volume control, and first generic optimizations. Rather than waiting for a complete capture session to complete, the smart sound box processes audio signals in small packets (e.g., every 500 ms to 1 second) and streams them into the cloud while the musician is still occurring. This ensures that musicians can almost immediately hear the AI-enhanced sound and make real-time corrections to their sangling techniques, instrument settings, or microphone placement, if desired. The edge AI also classifies and recognizes tonal variations and optimizes instrument separation and clarity of voice before the data is transmitted to the cloud for further refinement.To ensure comprehensive real-time analysis, the system utilizes event-driven, serverless cloud computing services that are immediately triggered upon receipt of each audio frame in the cloud object store. The cloud AI processes these small audio blocks in parallel and performs harmonic frequency compensation, multi-track separation, smart equalization, and AI-based mastering. The system has a hybrid database architecture in which structured metadata such as musician profiles, sound preferences, and performance history is stored in a relational cloud database, while high frequency real-time audio data and AI generated findings are efficiently managed in the cloud object storage. This architecture enables continuous learning so that the AI can refine its enhancement models based on user preferences and past exposures.Once the cloud AI completes processing, the optimized audio material is streamed back to the smart sound box in real time so that the musicians experience an immediate, AI-optimized playback while still occurring. The system supports low latency audio streaming to allow musicians to hear the processed sound without appreciable delays. In addition, the final AI enhanced recording is stored in the cloud so that musicians can access, compare, and refine past sessions. The smart sound box may be seamlessly integrated into DACs, live performance setups, streaming platforms, and cloud storage, such that high-quality, AI-based real-time sound enhancement is scalable and widely available. By combining on-device AI processing for instant sound corrections with cloud-based storage and deep learning for advanced sound correction.This smart soundbox system provides high quality, AI-assisted real-time sound processing for profi and amateur musicians.DETAILED DESCRIPTIONThe AI-driven smart sound box consists of several key components that cooperate to improve and optimize audio in real time: 1st System Microphone and instrument inputs: Support 3.5 mm, XLR, USB and MIDI ports for seamless integration with musical instruments and microphones.◯ Neural Sound Processing Unit (NSPU): An on-device AI chip (Edge AI) for low latency pitch correction, frequency modulation and real-time improvement.◯ AI algorithm module: A light deep learning module for performing pitch corrections, harmonic compensation, Hall control and automatic mastering. Generic and mood recognition unit: AI-controlled classification of musical style and emotional sound that enables smart title suggestions and adaptive sound effects. Noise Suppressing System: AI-controlled suppression of background noise and echo suppression for true-to-original audio recordings.◯ Integration of Cloud Storage and AI Processing:• Event-driven Cloud Computing (AWS Lambda) Services for AI processing in real time.• Hybrid cloud storage model that uses relational databases for musician profiles and object storage for high frequency audio data.◯ Connectivity Module: Supports WiFi 6, Bluetooth 5.0, USB-C, and IoT-based remote control for seamless cloud connectivity. User interface: touch screen display, rotary controller and an intuitive mobile app for remote control.2. AI-controlled sound processing◯ Real-time Local Processing: The Neural Sound Processing Unit (NSPU) is responsible for AI-controlled preprocessing on the device and provides realistic sound enhancement before cloud processing.• It detects pitch variations, tone variations and arrhythmia and makes immediate corrections.• Adaptive AI dynamically adjusts the equalization to ensure true-to-original sound quality.◯ Cloud-Integrated AI Improvement:• Small audio packets (500ms to 1s) are streamed into the cloud to perform deep learning-based harmonic compensation, multi-lane separation, and mastering.• The AI continuously learns from past recordings and user preferences to improve sound optimization.3. Cloud-based storage and Smart Synchronization◯ Automatic Cloud Upload & Processing:• Each recording session is uploaded to a secure Role Based Access Control (RBAC) cloud storage system to prevent unauthorized access.• Structured metadata is stored in a relational cloud database, while high frequency audio data is maintained in an object store.◯ Real-time Bi-directional Cloud Streaming:• Processed AI enhanced audio is streamed back to the device for real-time feedback.◯ Intelligent Versioning and Adaptive AI Learning:• AI-based intelligent versioning stores several takes for comparison and refinement.• Continuous AI analysis of past recordings improves future corrections and recommendations.◯ Security & Digital Rights Management:• The smart sound box uses TLS 1.3 over Wifi or 5G to encrypt data and securely transmit it to the cloud. The cloud storage has a role-based access control (RBAC) that allows only authorized access to the images and data points.4. User Interface and Controls◯ Touch Screen & Voice Control:• Users may operate the device via a touch screen interface or voice commands (e.g., "improve ging", "add hall", "store lane").◯ Remote Access and Multi-Device Access:• A mobile app enables real-time mixing, display customization and remote control over multiple devices.This AI-based sound processing framework redefines real-time music recording and enhancement and offers seamless AI-based tuning, smart recommendations, and cloud-integrated performance optimization.

Claims

A AI-controlled real-time sound processing device comprising: ◯ a neural sound processing unit (NSPU) for intra-device AI-based pitch correction and frequency modulation; ◯ a cloud-based AI model for harmonic compensation, multi-track separation, and smart sound recommendations. ◯ a noise cancellation system with AI-assisted cancellation of background noise and echo cancellation. ◯ a cloud-integrated storage and bidirectional real-time streaming of AI-enhanced audio. ◯ a multi-interface connectivity module supporting WiFi 6, Bluetooth 5.0, and USB-C.The system of claim 1, wherein the system is configured to: ◯ detect pitch swings and apply instant corrections using an embedded AI module; ◯ stream real-time audio packets to cloud-based AI models for enhanced sound improvements; ◯ store images in a cloud-based structured database and enable intelligent versioning; ◯ continuously learn user preferences and historical data for future recommendations and optimizations.The system of claim 1, wherein the cloud-based AI-based mastering optimizes audio quality for professional-level production.The system of claim 1, wherein the smart soundbox securely transmits data using TLS 1.3 and RBAC policies on the cloud storage prevent unauthorized access to recorded and stored sessions.The system of claim 1, wherein the AI-based tuning minimizes manual intervention in real time, thereby reducing production time and effort for musicians and producers.