hedra pedal Meris Hedra 3-Voice Rhythmic Pitch Shifter Effect Pedal — Truetone Music
SKU: 35708081039
hedra pedal

hedra pedal Meris Hedra 3-Voice Rhythmic Pitch Shifter Effect Pedal — Truetone Music

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Description

hedra pedal Meris Hedra 3-Voice Rhythmic Pitch Shifter Effect Pedal — Truetone MusicPlug in to Hedra to expand your melody palette and unfold your landscape. 3 voices, in rhythm combine with your original voice to create angelic harmonies. Each voice can be delayed and fed back in 4 intricate matrices for either predictable or unpredictable results. Explore endless creative avenues with pitch corrective locking and glide modes, either smooth or hard stepped. Add sonic unease and texture by micro tuning each voice. 3 Voice Rhythmic

Plug in to Hedra to expand your melody palette and unfold your landscape. 3 voices, in rhythm combine with your original voice to create angelic harmonies. Each voice can be delayed and fed back in 4 intricate matrices for either predictable or unpredictable results.  Explore endless creative avenues with pitch corrective locking and glide modes, either smooth or hard stepped. Add sonic unease and texture by micro tuning each voice.

3-Voice Rhythmic Pitch Shifter

  • Selectable Pitch Correction Types to ReVoice your Melodies in RealTime
  • Individual Controls for Pitch and Time Offset for each Voice (3 Voices Total)
  • Micro Tune control creates gentle chorus-like detuning, classic studio fattening, and extreme warping
  • Chromatic or Key Driven Harmony with Selectable Scale Types
  • 4 Delay Line Configurations with unique Feedback Routing
  • Unique Keyboard Control putting a Live Quartet Under your Fingertips
  • Our Original Glide Mode slides between pitches at the speed you choose
  • Choice to sweep through Intervals smoothly or hard step for dramatic pitch effects
  • Switchable Half Speed and Auto Swell for advanced textures
  • Digitally controlled Analog mix control
  • Stereo input and output
  • Switchable input / output headroom level for Guitar or Synth / Line level
  • Expression pedal control over all parameters simultaneously
  • Presets available via external 4-Preset switch or MIDI
  • MIDI in/out over TRS via the EXP jack
  • External Tap Tempo over TRS
  • MIDI beat clock synchronization
  • Premium analog signal path and 24-bit AD/DA w/32 bit floating point DSP
  • Premium Analog Devices JFET input section
  • Color – raw brushed aluminum with clear coat
  • Designed and built in Los Angeles, California U.S.A.
  • Power supply not included
      • .
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        SKU: 35708081039

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        R. Cote
        Birmingham, US
        ★★★★★ 5
        Before GPT can chat, it has to learn.
        Format: Paperback
        One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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        Reviewed in the United States on April 5, 2025
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        Rafael Azevedo Souza Costa
        Charlottesville, US
        ★★★★★ 5
        Great examples and practical explanations
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        Excellent book. Highly recommend
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        Reviewed in the United States on May 19, 2025
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        Thomas
        Dallas, US
        ★★★★★ 5
        Great for intuitive understanding
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        La Monte HP Yarroll
        Birmingham, US
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        Taught me backpropagation
        Format: Paperback
        I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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        3rd Act
        San Leandro, US
        ★★★★★ 5
        An Easy Read
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        A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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        Reviewed in the United States on May 7, 2024

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