One row per song in Tonelify's tone library (88 famous recordings): the amps its sources name, hedged or not, amp makers, whether the amp is solid-state, guitar families, whether published knob settings exist, and every source URL.

Please cite this paper if you use Guitar-TECHS:

Pedroza, Hegel, et al. "Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware." ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025.

@inproceedings{pedroza2025guitar,
 title={Guitar-TECHS: An Electric Guitar Dataset Covering Techniques, Musical Excerpts, Chords and Scales Using a Diverse Array of Hardware},
 author={Pedroza, Hegel and Abreu, Wallace and Corey, Ryan M and Roman, Iran R},
 booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
 pages={1--5},
 year={2025},
 organization={IEEE}
}

Guitar-TECHS

Guitar-TECHS is a comprehensive electric guitar dataset designed to advance machine listening research in tasks such as timbre transfer, performance generation, and automatic transcription. It captures performances by three professional guitarists (P1, P2, P3) across diverse recording environments, hardware setups (guitars, amplifiers, microphones), and musical content. The dataset includes multi-perspective audio signals (direct input, amplifier microphone, egocentric/exocentric stereo microphones) and synchronized MIDI annotations per string, enabling robust model training and analysis.

Key Features

• Diverse Performers & Gear: Recorded by three professional players in distinct rooms, using varied guitars, amplifiers, microphones, and audio interfaces.

• Multi-Signal Capture:

  • Direct input (DI)

  • Amplifier microphone

  • Egocentric (head-mounted stereo microphone)

  • Exocentric (front-facing stereo microphone, 5 feet from performer)

• Musical Content:

  • Techniques: Vibrato, harmonics, bendings, palm mute, pinch harmonics.

  • Scales: Played in "boxes" at 120 BPM.

  • Chords: 20+ chord types across 5 sets, with inversions (see Dataset Structure).

  • Musical excerpts and single-note recordings.

• MIDI Ground Truth: Per-string MIDI annotations via Fishman Triple Play Connect pickup.

(note: the ego and exo signals were captured with a video device, but Guitar-TECHS only includes this device's audio capture)

Dataset Structure

Track Categories

1. Music: Full musical excerpts.

2. Single Notes: Individual notes.

3. Scales: Played at 120 BPM.

4. Techniques: Articulations (e.g., bends, palm mutes).

5. Chords:

   • Set1: Strings 1,2,3 (maj, min, aug, dim) | Strings 1,2,3,4 (Maj7, 7, m7, m7b5).

   • Set2: Strings 2,3,4 (maj, min, aug, dim) | Strings 2,3,4,5 (Maj7, 7, m7, m7b5).

   • Set3: Strings 3,4,5 (maj, min, aug, dim) | Strings 3,4,5 (dim, aug).

   • Set4: Strings 4,5,6 (maj, min, dim, aug).

   • Drop3: Strings 2,3,4,6 (Maj7, 7, m7, m7b5).

   • Chord types include: Major, minor, augmented, diminished, Maj7, dominant 7, minor 7, minor 7♭5.

Note on temporal aligment: Signals may exhibit ≤100ms misalignment due to recording setup. For alignment-critical applications, apply correction (e.g., in the _getitem_ method of a PyTorch Dataset subclass).

Website: guitar-techs.github.io (includes paper and further hardware specifications).

Other related works:

Pedroza, Hegel, et al. "EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb." ISMIR (2022) https://egfxset.github.io

Pedroza, Hegel, et al. "Leveraging Real Electric Guitar Tones and Effects to Improve Robustness in Guitar Tablature Transcription Modeling." DAFx (2024) https://robust-guitar-tabs.github.io

Pedroza, Hegel, et al. "EGSet12: twelve real & original solo electric guitar performances with diverse playing styles to evaluate guitar tablature transcription." Zenodo (2024). https://zenodo.org/records/11406378

This is the Acoustic Guitar Playing Technique dataset (AG-PT-set).
It contains 15 hours and 55 minutes of monophonic recordings of 12 expressive guitar playing techniques (pitched and percussive).
Of these, 10 hours and 4 minutes of recordings encompassing 8 of the 12 techniques have been labeled, meaning that onsets were identified at the millisecond level and their timestamp was saved, alongside playing technique information.
As a result, 32,592 individual notes have been labeled.
Recordings were performed by 6 players on 7 different acoustic steel-string guitars.

The techniques are the following:

1. Kick technique (*percussive*): producing a sound that resembles a kick drum by hitting the lower right part of the top of the guitar body;
2. Snare-A technique (*percussive*): producing a sound by hitting the lower right side of the guitar body;
3. Tom technique (*percussive*): producing a sound by hitting the area of the guitar body near the top of the end of the fretboard, using the thumb;
4. Snare-B technique (*percussive*): producing a sound by hitting the muted strings over the end of the fretboard;
   
5. Natural Harmonics (pitched): plucking the strings while lightly touching the string with the fretting finger (i.e., not pressing the string fully), therefore letting only some harmonic overtones ring;
6. Palm Mute: partially muting the strings with the palm of the picking hand, resulting in a muffled sound.
7. Pick Near Bridge (pitched): plucking the string near the guitar bridge, producing sounds with great high-frequency content;
8. Pick Over the Soundhole (pitched): plucking the string over the soundhole, producing sounds with lower treble content and greater intensity;
9. Bending technique (pitched): pulling the strings, raising the pitch (half-tone interval);
10. Hammer-on technique (pitched): sharply bringing a finger down onto the fingerboard, creating a legato sound (half-tone interval);
11. Staccato (pitched): playing short notes;
12. Vibrato (pitched): Moving the fretting finger to warp the pitch and tone of the sound.

Techniques 1 through 8 have been meticulously labeled.

This dataset is presented in detail in the following conference paper:

https://doi.org/10.1145/3678299.3678325

Dataset

This dataset was created by Mebanpynshai L Marshilong

Contents

EGFxSet (Electric Guitar Effects dataset) features recordings for all clean tones in a 22-fret Stratocaster, recorded with 5 different pickup configurations, also processed through 12 popular guitar effects. Our dataset was recorded in real hardware, making it relevant for music information retrieval tasks on real music. We also include annotations for parameter settings of the effects we used. More details can be found in egfxset.github.io The dataset can also be accessed with mirdata Effects and parameters included: Effect Model Effect Type Knob Names Knob Type Setting blues driver Boss BD-2 Blues Driver distortion ['level', 'tone', 'gain'] ['volume','eq','effect amount'] [0.5,0.5,1.0] tube screamer Ibanez Mini Tube Screamer distortion ['tone', 'overdrive', 'level'] ['eq','effect amount','volume'] [0.5,1.0,0.5] distortion Pro Co Sound RAT2 Distortion distortion ['distortion', 'filter', 'volume'] ['effect amount','eq','volume'] [1.0, 0.5,1.0] chorus Boss CE-3 Chorus modulation ['rate', 'depth', 'stereo mode'] ['rate','effect amount','selector'] ['120 bpm', 1.0, False] flanger Mooer E-Lady modulation ['color', 'type', 'range', 'rate'] ['eq','selector','effect amount','rate'] [0.5, 'normal', 1.0, '120 bpm'] phaser MXR Phase 45 modulation ['speed'] ['rate'] ['120 bpm'] tape echo Line 6 DL4 Delay delay ['effect selector', 'delay time', 'repeats', 'tweak (bass)', 'tweez (treble)', 'mix'] ['selector', 'rate', 'effect decay', 'eq', 'eq', 'effect amount'] ['tape echo', '120 bpm', 0.6, 0.5, 0.5, 0.5] digital delay Line 6 DL4 Delay delay ['effect selector', 'delay time', 'repeats', 'tweak (bass)', 'tweez (treble)', 'mix'] ['selector', 'rate', 'effect decay', 'eq', 'eq', 'effect amount'] ['digital delay', '120 bpm', 0.6, 0.5, 0.5, 0.5] sweep echo Line 6 DL4 Delay delay ['effect selector', 'delay time', 'repeats', 'tweak (sweep speed)', 'tweez (sweep depth)', 'mix'] ['selector', 'rate', 'effect decay', 'rate', 'effect amount', 'effect amount'] ['sweep echo', '120 bpm', 0.6, '120 bpm',1.0,0.5] plate reverb Orange CR-60 Combo Amplifier reverb ['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean'] ['volume','eq','eq','selector','effect amount', 'volume', 'selector'] [0.5, 0.5, 0.5, 'plate', 1.0, 0.2, True] hall reverb Orange CR-60 Combo Amplifier reverb ['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean'] ['volume','eq','eq','selector','effect amount', 'volume', 'selector'] [0.5, 0.5, 0.5, 'hall', 1.0, 0.2, True] spring reverb Orange CR-60 Combo Amplifier reverb ['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean'] ['volume','eq','eq','selector','effect amount', 'volume', 'selector'] [0.5, 0.5, 0.5, 'spring', 1.0, 0.2, True] Please cite these papers if using EGFxSet: Pedroza HE, Abreu W, Corey R, Roman IR. "Leveraging real electric guitar tones and effects to improve robustness in guitar tablature transcription modeling." In 27th International Conference on Digital Audio Effects (DAFx), 2024. Pedroza, Hegel, Gerardo Meza, and Iran R. Roman. "EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb." ISMIR Late Breaking Demo, 2022.

Settings Volume Tone Drive Boost 10 5 1 0 10 5 5 0 10 5 10 0 10 10 10 10 Dry with markers Dry inputs are a selection of clean guitar and bass recordings from different sources: IDMT-SMT-GUITAR - dataset 2 (7:23 min) IDMT-SMT-GUITAR - dataset 4 - Career SG (6:08 min) IDMT-SMT-GUITAR - dataset 4 - Ibanez 2820 (5:14 min) IDMT-SMT-Bass-Single-Track - (5:58 min) NAM: Neural Amp Modeler - (3:11 min) Private Guitar Data - (5:19 min) YouTube Bass Recordings - (10:09 min) Pre-processing: All: synchronization markers (2 impulses) added at start and end of every file IDMT-SMT-GUITAR - dataset 2: peak normalized to -6dBFS NAM: no pre-processing Others: peak normalized to -0.1dBFS signal multiplied by random number every 5 seconds (uniform distribution [0.1, 1.0] = [-20dB, 0dB]) Authors Marco Comunità - Centre for Digital Music, Queen Mary University of London Github https://github.com/mcomunita/tonetwist-afx-dataset Reference If you make use of AUDIO-EFFECTS-DATASET, please cite the following publication: @misc{comunità2025nablafxframeworkdifferentiableblackbox, title={NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects}, author={Marco Comunità and Christian J. Steinmetz and Joshua D. Reiss}, year={2025}, eprint={2502.11668}, archivePrefix={arXiv}, primaryClass={cs.SD}, url={https://arxiv.org/abs/2502.11668}, }

This dataset contains spectrograms for all monophonic electric guitar notes contained within the SemanticTimbreDataset.

Files are organised as follows: Timbre_Group/Timbre_Descriptor/Timbre_Magnitude.

All audio files with a timbre magnitude of 0 are monophonic electric guitar notes recorded from a Fender Stratocaster, originally sourced from the EGFxSet [1]. All other audio files are those original clean samples processed through various guitar pedals affecting the sounds at various intensities (timbre magnitude). Each guitar pedal's effect can be described by a separate timbre descriptor. The SemanticTimbreDataset contains 19 timbre descriptors in total.

[1] Hegel Pedroza, Gerardo Meza, & Iran R. Roman. (2022). EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7044411

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Account activity data for Tone Charm Audio Guitar Effects on Instagram, covering posting frequency and recent engagement trends.

Dry inputs are a selection of clean guitar and bass recordings from different sources:

• IDMT-SMT-GUITAR - dataset 2 (7:23 min)
• IDMT-SMT-GUITAR - dataset 4 - Career SG (6:08 min)
• IDMT-SMT-GUITAR - dataset 4 - Ibanez 2820 (5:14 min)
• IDMT-SMT-Bass-Single-Track - (5:58 min)
• NAM: Neural Amp Modeler - (3:11 min)
• Private Guitar Data - (5:19 min)
• YouTube Bass Recordings - (10:09 min)

Pre-processing:

• All:
  • synchronization markers (2 impulses) added at start and end of every file
• IDMT-SMT-GUITAR - dataset 2:
  
  • peak normalized to -6dBFS
• NAM:
  
  • no pre-processing
• Others:
  
  • peak normalized to -0.1dBFS
  • signal multiplied by random number every 5 seconds (uniform distribution [0.1, 1.0] = [-20dB, 0dB])

@misc{comunità2025nablafxframeworkdifferentiableblackbox,
   title={NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects}, 
   author={Marco Comunità and Christian J. Steinmetz and Joshua D. Reiss},
   year={2025},
   eprint={2502.11668},
   archivePrefix={arXiv},
   primaryClass={cs.SD},
   url={https://arxiv.org/abs/2502.11668}, 
}

Purchasing influence ratings and conversion path analysis for Tone Charm Audio Guitar Effects on Instagram. Available to registered users.

DSP Guitar Amp Modeler Market Outlook

According to our latest research, the DSP Guitar Amp Modeler market size reached USD 528.7 million in 2024 globally, with a robust year-over-year growth trajectory. The market is expected to advance at a CAGR of 6.2% from 2025 to 2033, culminating in a forecasted global valuation of USD 911.4 million by 2033. The key growth driver for this market is the increasing adoption of digital signal processing (DSP) technology in music production, live performances, and recording studios, which is revolutionizing the way musicians and producers create and manipulate guitar tones.

The primary growth factor propelling the DSP Guitar Amp Modeler market is the relentless pursuit of tonal versatility and portability among musicians. Unlike traditional tube amplifiers, DSP guitar amp modelers offer a wide array of amp and effects simulations in a compact, lightweight format. This capability has particularly resonated with touring artists and session musicians who require a broad sonic palette without the logistical burden of transporting multiple amplifiers. Additionally, advancements in DSP algorithms have significantly narrowed the gap between digital emulation and analog authenticity, encouraging even purist guitarists to embrace these solutions for both live and studio applications. The proliferation of high-quality, user-friendly interfaces and integration with digital audio workstations (DAWs) further amplifies their appeal, making DSP guitar amp modelers a staple in contemporary music production environments.

Another significant growth catalyst is the democratization of music creation tools, which has expanded the user base for DSP guitar amp modelers beyond professional musicians to include hobbyists, educators, and content creators. The surge in home recording and the popularity of online music education platforms have driven demand for affordable, versatile, and space-efficient gear. Manufacturers are responding with a diverse range of products that cater to varying skill levels and budgets, from entry-level software-based solutions to sophisticated standalone hardware units. This inclusivity is fostering a vibrant ecosystem where innovation thrives, supported by a growing community of users sharing presets, patches, and custom amp models online. As a result, the market is witnessing sustained growth across multiple customer segments, further reinforcing its resilience and adaptability.

The integration of DSP guitar amp modelers into broader music technology ecosystems is also contributing to market expansion. Modern modelers often feature seamless connectivity with computers, mobile devices, and other digital instruments, enabling musicians to craft complex signal chains, automate effects, and recall settings with ease. This interoperability aligns with the broader trend of digitization in the music industry, where workflow efficiency and creative flexibility are paramount. Moreover, ongoing research and development efforts are yielding innovations such as artificial intelligence-driven tone matching and machine learning-based sound profiling, which promise to elevate the realism and expressiveness of DSP amp models. These technological advancements are not only enhancing user experience but also opening up new avenues for product differentiation and market penetration.

From a regional perspective, North America currently dominates the DSP Guitar Amp Modeler market, accounting for the largest share in 2024, closely followed by Europe and the Asia Pacific. The high concentration of professional musicians, leading music technology companies, and a robust live music industry in North America underpin its market leadership. Europe exhibits strong growth potential, driven by a vibrant music culture and increasing adoption of digital solutions in both professional and educational settings. The Asia Pacific region is emerging as a lucrative market, buoyed by rising disposable incomes, expanding urban populations, and a burgeoning interest in Western music genres. Latin America and the Middle East & Africa, while smaller in market share, are experiencing steady growth as local music scenes modernize and digital infrastructure improves.

Performance metrics and trend analysis of recent viral content and high-performing posts by Tone Charm Audio Guitar Effects on Instagram.

The dataset contains 13 classes of guitar sounds divided into directories, as well as a .csv file with metadata. The data can be used for classification and sound analysis tasks.

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According to Cognitive Market Research, The Global Guitar Amps market size is USD 125 million in 2023 and will grow at a compound annual growth rate (CAGR) of 3.60% from 2023 to 2030.

The demand for the guitar amps market is rising due to the increasing popularity of rock music is driving the expansion of this market.
Demand for electric guitars remains higher in the guitar amps market.
The 50W category held the highest guitar amps market revenue share in 2023.
North America will continue to lead, whereas the Asia Pacific guitar amps market will experience the strongest growth until 2030.

Expanding Music Industry and Growing Popularity of Live Performances to Provide Viable Market Output

The growing popularity of live performances. As the global music landscape continues to diversify, with genres like rock, pop, and electronic music reaching wider audiences, the demand for high-quality sound amplification systems, including guitar amps, has surged. Musicians, both amateurs and professionals, are increasingly investing in advanced equipment to enhance their performances. Moreover, the proliferation of music festivals, concerts, and live events worldwide has created a consistent demand for powerful and versatile guitar amps.

Fender Musical Instruments joined forces with the company to introduce Kyser's electric guitar capos in 2021. These recently released capos for electric guitars can be purchased at Fender and Kysermusical.

These events require reliable amplification systems to ensure that musicians can deliver their performances to large audiences effectively. As a result, manufacturers are focusing on innovation, producing amps with advanced features, effects, and portability to cater to the evolving needs of musicians. The synergy between the expanding music industry and the demand for top-notch live performances acts as a significant driver propelling the growth of the Guitar Amps market.

Technological Advancements and Integration of Digital Features to Propel Market Growth

Technological advancements and the integration of digital features are pivotal drivers shaping the Guitar Amps market. With the advent of digital signal processing and modeling technologies, guitar amp manufacturers are incorporating a wide array of digital effects, amp modeling, and presets into their products. These features allow musicians to emulate various amplifier sounds and effects, providing them with flexibility and creative freedom. Furthermore, the integration of Bluetooth connectivity and smartphone apps enables seamless control and customization of amp settings, enhancing user experience. Musicians can now experiment with different tones and effects without the need for multiple physical amps, making the digital aspect of guitar amps highly appealing.

Growing Demand for Equalizers to Promote Industry Progress

Market Dynamics of Guitar Amps

Restraint Factor for the Guitar Amps Market

Market Saturation and Intense Competition to Hinder Market Growth

The guitar amps market is market saturation and intense competition. The market is already flooded with a plethora of guitar amp brands, models, and variants, each catering to different musical styles and preferences. This saturation poses a challenge for both new and existing players, as they struggle to stand out in a crowded marketplace. Intense competition often leads to price wars, affecting profit margins for manufacturers. Additionally, it becomes challenging for consumers to navigate through the multitude of options, making it difficult for newer or niche players to gain significant market share. Established brands with loyal customer bases tend to dominate, making it hard for newcomers to break into the market.

Trend Factor for the Guitar Amps Market

AI Surge, Sector Diversification, and Global Expansion Drive Growth 

Several revolutionary developments are fueling the venture capital market in 2025. With VCs supporting next-generation businesses in AI-powered automation, biotechnology, climate technology, and quantum computing, portfolios are being reshaped by a primary emphasis on investments in artificial intelligence and deep technology. Increasing interest in climate, healthtech, fintech, and frontier innovations is driving sector diversification, which protects portfolios against downturns in any one industry. Growing digital uptake and innovation centers are al...

Social behavioral traits and content style persona of Tone Charm Audio Guitar Effects on Instagram. Available to registered users.

Executive Summary of Guitar Pedals Market The global guitar pedals market is experiencing robust growth, projected to expand from $3339.15 million in 2021 to $5662.81 million by 2033, driven by a steady CAGR of 4.5%. This expansion is fueled by the increasing number of musicians worldwide, continuous technological innovation in both digital and analog domains, and the powerful influence of social media and online content creation. While North America remains the dominant market, the Asia Pacific region is emerging as the fastest-growing territory, showcasing significant potential. The market is characterized by a dual trend: a rising demand for sophisticated, all-in-one digital multi-effects units and a concurrent, sustained passion for niche, high-quality boutique analog pedals. This dynamic creates opportunities for manufacturers to cater to a wide spectrum of players, from beginners and hobbyists to professional touring musicians. Key strategic insights from our comprehensive analysis reveal:

The market is undergoing a significant geographical shift, with the Asia Pacific region, led by China and India, exhibiting the highest growth rate (6.018% CAGR), challenging the long-held dominance of the mature North American market. Technological duality is a core market driver. There is simultaneous strong demand for both advanced, feature-rich digital multi-effects processors and premium, high-fidelity boutique analog stompboxes, catering to different consumer preferences for convenience versus tonal purity. The direct-to-consumer model, amplified by social media marketing and e-commerce platforms, is becoming increasingly crucial for brand success, especially for smaller boutique manufacturers looking to reach a global audience.

Strategic Recommendations for Manufacturers Manufacturers should adopt a dual-pronged strategy to capitalize on market trends. Firstly, invest in R&D for user-friendly, high-fidelity multi-effects units with robust software integration, targeting the mid-market and gigging musicians. Secondly, cultivate a boutique or premium line that emphasizes unique analog circuitry, superior build quality, and strong brand storytelling to appeal to tone purists and collectors. Expanding digital marketing efforts, particularly through video content and artist collaborations on social media, is crucial for reaching a global audience. Furthermore, a focus on emerging markets in Asia-Pacific and South America by offering region-specific pricing and product bundles can unlock significant new growth avenues. Factors driving the Guitar Pedals Market Growth

Increasing demand for guitar pedals among young musicians and amateurs significantly drives the growth of the global market

Increasing demand for the guitar pedal among young musicians and amateurs is a major factor expected to drive the growth of the global market. Young musicians and amateurs often seek to explore and experiment with different sounds to develop their unique musical styles. Guitar pedals provide a wide range of sonic possibilities, enabling them to create distinct and personalized tones. Increasing the use of the guitar pedal to create several effects such as distortion, reverb, delay, and modulation, among others, enhances the overall sound and allows musicians to express their creativity. Increasing home recording studios and the growing popularity of bedroom musicians have fueled the demand for guitar pedals. Musicians who produce music in their homes often use pedals to enhance their recordings and create professional-sounding tracks without the need for expensive studio equipment.

Rising demand for live music is significantly fueling global guitar pedal market growth (Access Detailed Analysis in the Full Report Version)


Increasing Disposable Income Fuels the Market Growth

Market Trend

Many guitar pedal manufacturers are producing smaller and compact pedals, that will acquire less space and can easily get transported. They are also producing multi-effect panels, which combine multiple effects into one pedal. Further, the manufacturers are trying to introduce many innovative pedals such as eco-friendly pedals, smart pedals, modeling pedals, and others, which are fuelling the market growth.

In addition, the trend of home recording and streaming music is rising these days, many amateurs are now able to produce professional-grade music and therefore, the market for global guitar pedals is g...

The Single Effect Guitar Pedal market has become an essential segment in the music industry, serving both amateur and professional musicians looking to enhance their sound. These pedals are designed to modify the tone of electric guitars through various effects like distortion, delay, reverb, and modulatio...