#neural dsp

[dajovajr]

riffing

[guitarbomb]

Neural DSP announces Cortex Control Launch

Neural DSP Technologies has just unveiled Cortex Control, a cutting-edge desktop platform that revolutionizes the way users interact with the Quad Cortex amp modeler. This launch marks a significant milestone in the world of amp modeling, offering a range of user-experience enhancements and creative control options. Cortex Control Developed through extensive research and shaped by feedback from…

[aaggpp]

The intro is done!

[vulcanette]

📸: adamrosssi

[gubbles-owo]

i am this close to buying a ~$100 amp sim (one that i tried out a limited trial for a couple years back and god it just sounds so much better than anything i presently have) someone stop m e like listen to this shit i whipped up with it way back when

compared to how honky and thin and tinny every goddamn cab in my current amp sim has been

pain

have mercy on me momoka-san i dont KNOW how to mix guitar good i don't got the expensive plugins for goodly gutair ton e

(dont mind my rambling its just my ears and brain rotting nbd)

[thegrebfather]

Хотите меня спросить какой то вопрос ? После подписки на меня выходит кнопка Ask questions

И просто пишите свой вопрос . Постараюсь ответить на ваши вопрос

Мерч : https://firstblood.store 

Мой процессор (neural dsp) : https://neuraldsp.com/quad-cortex

[danwithouttheplan]

sorry if you're getting tired of the axolotl song stuff but I just think it is incredible. did you compose the song? if so, what DAW did you use? any cool vsts? sample packs? I absolutely loved it

Oh, I love talking tech! I still consider myself an amateur in the ways of production, but I'm always working on getting better. None of this is by any means the best way (or even a good way) to do anything, it's just how I did it.

I did compose the song, yes - musically and lyrically (other than the first line of the first verse, of course). I use Studio One for my DAW. I got it a good number of years ago and I've liked it enough that I haven't moved to anything else.

I don't play drums and I don't pretend to write drums, so all of the drum tracks are just standard midi samples from EZdrummer (although I did add the tambourine and shaker).

I normally hate using ribbon mics with my voice, but I think I used a ribbon mic through a preamp with built-in channel strip. Other than stock EQ and compression, I threw vocals and bass through some simple LANDR plug-ins that I got as a pack. There's a bit more post-production on the vocals, but nothing notable. Bass was all DI.

I usually like to either live mic my guitars or run my amps through cabinet simulators, but this one was all DI + digital. I've recently been turned on by Neural DSP's plug-ins (though I normally use them for... heavier... guitar riffs), so all of the guitar tracks in this were using the Nolly model because I felt it had a relatively Cake feel.

The trumpet sounds very fake because it came from a not-particularly-great stock instrument sample pack in my DAW. It was the only trumpet I had on hand. The synth sounds both came from an Arturia Analog Lab synth package that came with my midi keyboard. Yes, I did play that freaky little synth thing after the first chorus.

I actually forgot to throw on a master reverb, but I don't think it was lacking too much without it (especially for a meme song). The real magic came from two things at the end of it all. I ran everything through an outboard Elysia mid/side stereo saturation module to widen it all and beef it up a little, and finished it all off with the iZotope Ozone mastering plug-in to really make it sparkle and get the final levels right.

Hope this answers most/all of your questions!

[wayofthebob]

(Wayofthebob)

Track Name:   Death Rattle

Album: The Cure For Happiness

Track No:     10

Started:         Saturday 4th November 2023

Completed:   Saturday 4th November 2023

BPM:   160

Instruments

Guitar: Fender Chris Shiflett Telecaster Deluxe

Bass: Warwick Adam Clayton Signature

Drums: Toontrack Superior Drummer 3

Keys: Logic Alchemy

Recording Setup

DAW:               Apple Logic Pro X

Interface:           Audient EVO 16

Guitar Setup:     SSL Guitarstrip

Neural DSP - Archetype Petrucci

SSL X-Limit (Lead)

SSL X-Delay (Lead Bus)

SSL Fusion Stereo Image (Lead Bus)

Bass Setup:       Ampeg Portaflex PF-500

Harrison Bass Flow

SSL Blitzer

Neural DSP - Darkglass Ultra

SSL Guitarstrip

SSL X-Limit

Drum Setup: EZ Drummer Pop Punk Kit

SSL Native X-EQ 2

SSL Native Drumstrip v6

SSL Fusion Vintage Drive

SSL LMC+

SSL Fusion HF Compressor

SSL Fusion Violet EQ

SSL 4K B

Master Mix: Slate Digital FG-X 2

SSL Native Bus Compressor 2

SSL Fusion Stereo Image

T-RackS Master Match

Other Plugins: SSL Native Suite

[effectsdatabase]

Last week's top 20 videos (2023 week 23)

Top 20 videos last week (June 4-10)

Marshall Reissued Their Legendary Line Of Pedals! (Bluesbreaker, Drivemaster, Shredmaster, Gov'nor) (by JHS Pedals)

Boss OS-2 - A Pedal That Can Rescue Your Show (by Caroline Guitar Company)

Can You Hear The Difference!? Profiled Amps Vs Real Amps (by AndertonsMusic)

Paul Cochrane Timmy V2 Teardown! See what's inside! (by Gray Bench Electronics)

Cómo obtener una suboctava más grave con el O68 Oscillator #guitarpedals #pedalesdeguitarra (by Dedalo FX)

Big Knob Wah Fix Demo (by Big Knob Pedals)

Have YOU been missing out on the EHX Crayon? (by Budget Pedal Chap)

EHX Big Muff V2 Ram's Head '74 ? MXR Delay ? N ST ASM ? JB (by Soulman Vintage)

A Blues Guitarist and the BOSS BD-2 Blues Driver Pedal (by intheblues)

Digitech Hardwire Sc-2 Valve Distortion (by We As A Company)

DIY: 3PDT Toggle Switch Assembly (by Coppersound Pedals)

Have you ever cleaned up a tone bender into a wah? // #wahpedal #fuzzpedal #vintagepedals (by Edge Of Breakup)

Stacked Overdrive Pedals vs. A Distortion Pedal (by Chuck's Guitar Geekery)

Will it Shoegaze? // Black Hole Symmetry (by collector//emitter)

Custom Tones LLC Ethos Clean III (by Mike Hermans)

Where Should Your Boost Pedal ACTUALLY Go? (by Revv Amplification)

Techno-OV germanium overdrive (by SviSound)

AMMOON OCTA | Clones con swag #3 (by GC Pedalboard Devices)

Dual Control + NEURAL DSP Archetype (by VZtec)

Pairing EQD pedals with the Erica Synths P?rkons HD-01 Synthesizer #ericasynths (by EarthQuaker Devices)

Overviews of the previous weeks: https://www.effectsdatabase.com/video/weekly

from Effects Database https://bit.ly/3Cqawt9

[cavenewstimestoday]

“I rarely do straight down strokes. I haven't played Metallica in a while”: Tosin Abasi and Plini give a masterclass in virtuosity after writing and recording a song in a day

Plini & Tosin Abasi write and record a song in a day – YouTube Watch On Digital modeling pros Neural DSP love a creative publicity stunt, and they’re no strangers to pairing hotshot shredders together, locking them in a room, and seeing if they can write a song in 24 hours. We’ve already seen Plini working with ex-Megadeth man Kiko Loureiro and Mateus Asato, and producing magic, but seeing him…

[rainyducktiger]

Mobile SoC Market Expansion Strategies and Growth Opportunities to 2033

Introduction

System-on-Chip (SoC) technology has fundamentally transformed the way modern smartphones and mobile devices are designed. By integrating all critical computing components—including CPUs, GPUs, modems, AI processors, and other subsystems—onto a single chip, Mobile SoCs have enabled sleeker, more powerful, and energy-efficient devices.

As 5G networks, artificial intelligence, augmented reality, and edge computing become central to mobile computing, the global Mobile SoC market is set for significant growth. This article explores the market’s key trends, drivers, challenges, segmentation, and growth forecast through 2032.

Market Overview

The global Mobile SoC market was valued at approximately USD 115 billion in 2023 and is projected to reach USD 240 billion by 2032, growing at a CAGR of around 8.4% during the forecast period.

The market’s growth is fueled by:

The rapid adoption of 5G smartphones,

Increasing integration of artificial intelligence (AI) capabilities at the edge,

A growing demand for power-efficient chips, and

The rise of IoT-connected devices that rely on Mobile SoCs for performance.

Download a Free Sample Report:-https://tinyurl.com/yjhyn3va

Key Market Drivers

Proliferation of 5G Connectivity

The global rollout of 5G networks has led to unprecedented demand for advanced SoCs capable of handling higher data rates and supporting multiple antennas through integrated 5G modems. SoCs with 5G support are becoming a baseline requirement for smartphone manufacturers aiming to remain competitive.

Rising Demand for Edge AI and On-Device Processing

AI-driven features such as voice assistants, computational photography, facial recognition, and real-time language translation rely heavily on on-device processing. This has led to the emergence of AI accelerators embedded directly into SoCs, such as Apple’s Neural Engine or Qualcomm’s Hexagon DSP, creating a strong demand for smarter, AI-ready chips.

Increased Adoption of IoT and Wearables

Mobile SoCs aren’t limited to smartphones anymore. Devices like smartwatches, AR/VR headsets, wireless earbuds, and health trackers all leverage SoC architectures to deliver efficient performance in compact form factors. This diversification is expanding the market beyond mobile phones.

Performance and Power Efficiency Improvements

Consumers expect high performance and longer battery life. Manufacturers are racing to develop SoCs with lower process nodes (currently at 3nm and heading toward 2nm) to deliver more transistors per square millimeter while reducing power consumption.

Market Challenges

High Design Complexity and R&D Costs

The design and verification of cutting-edge Mobile SoCs are increasingly complex, requiring substantial R&D investment, sophisticated simulation tools, and long development cycles. Only a few players like Qualcomm, Apple, Samsung, and MediaTek can afford to remain at the cutting edge.

Supply Chain Vulnerabilities

The semiconductor industry has faced significant disruptions, especially in light of the COVID-19 pandemic and geopolitical tensions affecting Taiwan’s foundries (TSMC) and China’s tech manufacturing base. This can limit supply and delay the production of next-generation SoCs.

Thermal Management Issues

As SoCs pack more cores, modems, GPUs, and AI accelerators into smaller dies, heat generation has become a design bottleneck, especially for high-performance phones and compact devices.

Market Segmentation

By Type

Application Processors Responsible for running the device’s OS and apps.

Baseband Processors Handle mobile communication protocols (3G/4G/5G).

AI Accelerators Dedicated cores for machine learning inference and real-time decision-making.

Connectivity SoCs Support Wi-Fi, Bluetooth, GPS, and cellular connectivity.

By Application

Smartphones

Tablets

Wearable Devices

Automotive Infotainment Systems

Smart Home Devices

AR/VR Headsets

IoT and Edge Devices

By Region

North America Driven by strong demand for high-end devices and early 5G adoption.

Europe Growing emphasis on data security and AI-enhanced smartphones.

Asia-Pacific The largest manufacturing hub and consumer market for smartphones, especially in China, India, South Korea, and Japan.

Middle East & Africa Rising mobile penetration rates and increasing adoption of 4G/5G networks.

Latin America A fast-growing market segment with budget smartphones and IoT device demand.

Technological Trends

Smaller Process Nodes

The ongoing shift to 3nm and 2nm semiconductor technology enables faster performance and lower energy consumption. Companies like TSMC and Samsung Foundry are leading this transition.

Heterogeneous Computing

Modern SoCs combine CPUs, GPUs, Neural Processing Units (NPUs), and Digital Signal Processors (DSPs) to distribute workloads efficiently, offering better performance for AI and AR applications.

Chiplet Design

Instead of building a single monolithic die, manufacturers are exploring chiplet-based architectures, allowing them to mix and match processing units, connectivity blocks, and AI accelerators more flexibly.

Open-Source Architectures

The rise of RISC-V as a viable alternative to ARM’s proprietary cores is beginning to reshape the SoC design landscape, offering cost-effective, customizable solutions.

Competitive Landscape

The Mobile SoC market is a battleground for a few dominant players, each striving to push the boundaries of performance, efficiency, and AI capability.

Key Companies

Qualcomm Technologies Inc. — Snapdragon series

Apple Inc. — A-series and M-series SoCs

Samsung Electronics — Exynos series

MediaTek Inc. — Dimensity and Helio series

HiSilicon (Huawei) — Kirin series (limited by trade restrictions)

UNISOC — Expanding footprint in entry-level smartphones

Google — Tensor SoCs for Pixel devices

Future Outlook

The future of the Mobile SoC market will be shaped by the convergence of AI, 5G/6G, and edge computing. Here are a few trends to watch as the market matures:

On-device AI capabilities will become standard, making cloud dependence optional for complex tasks like real-time video enhancement and augmented reality overlays.

Energy optimization will become a defining feature as mobile devices increasingly rely on AI for everything from photography to app optimization.

Vertical integration (like Apple’s in-house chip design for iPhones) will increase, as tech giants aim for tighter control over performance, security, and power efficiency.

Open-source architectures and emerging fabrication techniques (e.g., extreme ultraviolet lithography) will lower barriers for new entrants and foster more innovation.

Conclusion

The Mobile SoC market stands at the crossroads of multiple technological revolutions: the rollout of 5G/6G networks, the proliferation of edge AI, and the emergence of smart and autonomous devices across industries. Despite facing headwinds like supply chain fragility and design complexity, the sector is set for long-term expansion.

As smartphones evolve into AI-powered personal computing hubs and wearables become more sophisticated, the importance of highly integrated, power-efficient, and AI-ready Mobile SoCs will only grow. Stakeholders who innovate in energy efficiency, AI capability, and manufacturing resilience will lead the way through 2032 and beyond.Read Full Report:-https://www.uniprismmarketresearch.com/verticals/semiconductor-electronics/mobile-soc

[govindhtech]

Intel Agilex 7 FPGA and SoC Improve Hardware Acceleration

Intel Agilex 7 FPGA

Synchronising Wireless RAN Timing with Altera Agilex 7 SoC FPGAsUsing AI

FPGA intelligent holdover and adaptive clock correction reduce GNSS reliance.

Modern Radio Access Networks (RAN) require precise timing for performance and stability. Low-latency scheduling, base station synchronisation, and coordinated multi-point (CoMP) broadcasts need precise frequency and phase alignment in wireless infrastructure.

Synchronisation usually uses GNSS, PTP, and SyncE protocols. When urban canyon effects block GNSS signals, indoor deployment, jamming, or spoofing devices must switch to holdover, which often decreases accuracy, increases jitter, and interrupts service.

Clock Drift Prediction with Machine Learning | AI-Enhanced Holdover

Altera's innovative technology provides AI-driven timing holdover using MLP and LSTM neural networks that are taught to recognise and anticipate clock drift tendencies in real time. Direct implementation of these models onto Agilex 7 SoC FPGAs ensures ultra-low-latency GNSS signal loss adaption.

This method dynamically modifies the Digital Phase-Locked Loop (DPLL) per learning environmental behaviour.

Maintains frequency synchronisation without GNSS.

Up to 10 times less electricity and upkeep.

Adjusts for age, temperature, and voltage-induced oscillator drift

Guarantees real-time clock correction for next-generation RANs.

Resilient Open and Edge RAN

The Altera FPGA AI Suite, Quartus Prime, and PTP Servo IP were used to develop this MATLAB solution. Stress-tested in various environments and validated by multi-day drift simulations. It provides temporal robustness even in poor deployment conditions, making it suitable for Open RAN, private 5G, and remote edge deployments without GNSS.

We Value Intelligence at FPGAi

FPGAi lets system builders build hardware with intelligence that adapts to more complicated timing challenges as networks approach the edge. This AI-native synchronisation solution shows how neural inference and programmable logic cut TCO and improve RAN dependability.

SoC with Intel Agilex 7 FPGA

The top FPGAs provide industry-leading fabric and IO rates for most bandwidth, compute, and memory-intensive applications.

Agilex 7 devices outperform 7 nm FPGAs in fabric performance per watt. 32GB HBM2e, PCIe 5.0, CXL, integrated Arm-based CPUs, and 116Gbps transceivers are also available. These qualities make them perfect for broadcast, data centre, networking, industrial, and defence.

Agilex 7 SoC FPGA F-Series

F-Series FPGAs use Intel's 10 nm SuperFin fabrication process. They are ideal for many applications in many markets due to their high-performance crypto blocks, strong digital signal processing (DSP) blocks that enable various precisions of fixed-point and floating-point operations, and transceiver speeds up to 58 Gbps.

I-Series Agilex 7 FPGA and SoC

I-Series devices provide the finest I/O interfaces for bandwidth-intensive applications. This series, based on Intel's 10 nm SuperFin manufacturing technology, extends on the F-Series' PCIe 5.0 capability, cache- and memory-coherent connection to CPUs via CXL, and up to 116 Gbps transfer speeds.

Agilex 7, SoC FPGA M-Series

Memory and computation-intensive applications are ideal for M-Series devices. This series uses Intel 7 process technology to expand on I-Series device features like integrated high-bandwidth memory (HBM) with digital signal processing (DSP) and high-efficiency interfaces to DDR5 memory with a hard memory Network-on-Chip (NoC) to maximise memory bandwidth.

Advantages

Design Optimisation Benefits from Core Architecture

The second-generation Intel Hyperflex FPGA Architecture improves performance, power consumption, design capabilities, and designer productivity, enabling design optimisation.

Increase DSP speed and performance

The first FPGA with protected half-precision floating point (FP16) and BFLOAT16 delivers up to 38 tera floating point operations per second (TFLOPS) of DSP performance for AI and other compute-intensive applications.

Maintain Integrity and Privacy with Strong Security Features

The dedicated Secure Device Manager (SDM) manages configuration, authentication, bitstream encryption, key protection, tamper sensors, and active tamper detection and response. You may pick the functionality you need to meet your security requirements.

Application and Use Cases

Build Advanced Networking Solutions using Agilex 7 FPGAs and F-Tiles

Silicon and chiplet technologies provide scalability, flexibility, power economy, and hardened function performance, making them essential for FPGA system-level design.

Agilex 7 FPGAs Create Affordable and Effective mMIMO Solutions

Mobile communications demand is rising exponentially due to the number of users and their data consumption. To meet rising demand, mobile network operators (MNOs) are moving to 5G mobile networks and HF RF bands.

Agilex 7 FPGAs Target 5G, SmartNICs, IPUs

When fast networks are assaulted, edge-to-cloud cyberattacks and data breaches grow. Since cyberattacks and data breaches are increasing, encrypted communications are useful. 5G networks, OvS, and network storage.

Key Features

Second-generation Intel Hyperflex FPGA Architecture: The Intel Hyperflex FPGA design adds Hyper-Registers, bypassable registers, throughout the FPGA fabric. They are available at functional block and interconnect routing segment inputs.

Variable-Precision DSP: The unique DSP design allows DSP blocks to do multiplication, multiply-add, multiply-accumulate, floating point and integer addition, and variable-precision signal processing.

Interface for DDR4: Hardened memory controllers solve memory system constraints in high-performance computers and data centres with performance, density, low power, and control.

Hardened Arm Cortex-A53 quad-core SoC.

[guitarbomb]

Neural DSP Morgan Amps Suite - Vintage Charm and Modern Fidelity

Neural DSP introduces the Morgan Amps Suite, a guitar amplifier plugin that promises a perfect mix of vintage warmth and modern clarity. This latest offering from Neural DSP, a leader in digital guitar processing, brings the revered tones of Morgan Amplification’s boutique tube amps into the digital realm. Morgan Amps Suite The Morgan Amps Suite features three iconic Joe Morgan tube amp designs,…

[eliteseven]

I used Ableton before once or twice, and if I’m not mistaken I think the library should be compatible! Sometimes using less really is better when it comes to EQ/plugins, especially if there’s a ton of distortion in the mix. Might be that metal influence sneaking in, huh? 😆

And I promise, you're never boring if anything, I always enjoy hearing your thoughts. Totally no pressure, though. Just wanted to say you're always welcome to reach out anytime. 😊

Haha definitely the metal influence!!! 😭 I’m using Archetype: Abasi from Neural DSP for the tones- they’re fucking gorgeous and heavyyyy, but like I could definitely use a masterclass in mixing 😁

I haven’t had the time to lay down any tracks since I’m kinda on the job prowl right now, but I would love to hear your thoughts/advice!!! 🥹 maybe I could send you an older project for now and you could give me some general pointers, if you’d be down!!

[kvibe-test]

Revolutionizing Music Production: The Future of Sound Creation

TITLE: The Evolution of Music Production Through Technology

The music production landscape is experiencing a significant transformation, propelled by rapid technological progress. In nations like Canada, France, Belgium, the USA, Lebanon, Egypt, and Dubai, these advancements are revolutionizing how music is crafted, distributed, and enjoyed.

AI in Music Production

Artificial Intelligence is leading the charge in redefining the music production process. From songwriting to final mastering, AI tools empower producers to push beyond conventional boundaries. AI composition partners like AIVA and Amper Music generate intricate melodies and arrangements, providing artists facing creative hurdles with both inspiration and efficiency. Platforms enhanced by AI, such as LANDR and iZotope Ozone, are making high-caliber production more accessible by automating the mixing and mastering stages.

Cloud-Based Collaboration

Cloud technology is revolutionizing collaboration within music production. Platforms like Soundtrap and BandLab enable musicians to collaborate in real-time, regardless of their global locations. Services like Dropbox and Google Drive offer seamless file exchange, ensuring collaboration remains fluid and efficient.

VR and AR in Music Creation

Virtual and Augmented Reality are expanding the possibilities in music creation. Tools like Electronauts VR provide immersive settings for music production, challenging the limits of what can be achieved. AR applications such as Magic Music Visualizer enrich live performances, blending physical and digital realms to create mesmerizing experiences.

Blockchain is revolutionizing music rights management, tackling the historical challenges of transparency and equity. Platforms like Ujo Music leverage blockchain technology to enable smart contracts that automate royalty distribution, ensuring artists receive fair and transparent compensation. Audius makes use of blockchain to support decentralized music streaming, promoting a more equitable streaming model for artists.

Advancements in audio plugins are transforming sound design and production quality. Instruments using physical modeling synthesis, like Arturia's Pigments, create ultra-realistic soundscapes. Neural DSP utilizes neural networks to accurately replicate the sound of vintage guitar amplifiers, allowing professional-grade audio production without the need for expensive hardware.

In Canada, the advancement of AI mastering by companies like LANDR highlights the country's strong tech industry. France’s Arturia is pioneering innovations in virtual instruments, while Belgium's Jamahook leads AI innovations in music discovery. In the USA, firms such as iZotope and Waves Audio continue to drive advancements in audio processing. Despite economic challenges, Lebanon's music tech scene is expanding, with Anghami paving the way for streaming advancements in the Middle East. Dubai is emerging as a music tech hub in the Middle East, exemplified by the Dubai Music Conference, and Egypt's burgeoning tech sector is developing new Arabic-language music tools.

Technology is not just an influence but a core force reshaping music production. By integrating AI, cloud technology, VR/AR innovations, blockchain, and advanced plugins, producers worldwide are achieving unprecedented levels of creativity and efficiency. Whether it's in composition or rights management, these technological strides are ushering in a new era of accessible and innovative music. Those who embrace these technologies are likely to flourish in the constantly evolving music industry, redefining how music is created and consumed on a global scale.

Ultimately, as music production continues to evolve, keeping up with these technological advancements is crucial for artists aiming to innovate and remain competitive. These tools not only alter the production process but also redefine the boundaries of what's possible.

Explore these innovations and discover how they will connect you to the future of music.

#MusicTechnology #AI #VR #Blockchain #MusicProduction

Discover how cutting-edge technologies are reshifting music production.

[jorgenstraumfors]

Using WIDI with Stage Traxx 3 and Neural DSP Quad Cortex - Part 2