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Tomofon [iPad]

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Tomofonのおすすめ画像1
Tomofonのおすすめ画像2
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Klevgränd produkter ABの音楽アプリ

「Tomofon」は、Klevgränd produkter ABが配信する音楽アプリです。

ミュージック

このアプリの話題とニュース

  • 新バージョン1.2.0が配信開始。新機能や改善アップデートがされています。


  • 2023年2月16日(木)にiPad版がリリース!


最新更新情報

version1.2.0が、2023年6月27日(火)にリリース

- Support for MPE keyboards: for hardware, AUv3 and the built-in keyboard in the standalone app!
- Added a Body parameter that simulates different instrument bodies and materials
- Added filter types (now there is LP, HP, BP in both 12 db/oct and 24 db/oct)
- Zoom and Scroll functionality in Audio Model Editor
- Controller sources (and MPE state) can be locked so they won't change when loading a new preset
- Custom tunings support (opens .tun files)
- Pitch Zone graphical representation are now rendered inside the curve tool
- Various bug fixes and improvements

使い方や遊び方

This unique virtual instrument introduces a new “Audio Model” format, capable of containing thousands of waves extracted from ordinary audio files. These waves - and how they’re structured - lays the ground for how Tomofon generates audio, resulting in a highly flexible and instantly expressive instrument. On one hand it can sound very organic, even lifelike, and on the other, like something out of this world. Whether you want to play around with the Audio Model Starter Pack (instruments & voices) and factory presets, or import your own audio to shape your own unique soundscapes – it is fair to say that you are in for a creative journey.



How does it work?



Tomofon converts audio files into a large set of oscillating waves, which are then mapped into pitch zones where each wave represents one layer (a bit similar to how a sampler structures different velocity zones). The main difference is that since each zone is populated with waves instead of ordinary samples, the synth engine can morph between them (both layers and zones). This makes all transitions between zones and layers continuous and seamless.



Create and share your own unique sounds



A significant feature of this plug-in is that users can import their own audio files and create new and unique Audio Models. Ordinary audio files (preferably with monophonic content) can easily be imported and distributed into different pitch zones over the keyboard range, either automatically or manually. Doing an automatic import is basically a one-click process which instantly results in a proper playable Audio Model. A manual import gives the user full control of which waves should end up in which pitch zone. Last but not least you can easily share your own created Audio Models with others.



Tomofon comes pre-loaded with a pack of 124 Audio Models based on high quality audio recordings of multiple expressions. These models includes several instruments like strings, vocals, brass, woodwind, guitars and more. Along with these models there are over 180 presets to get you going right away. From there on you can venture further and start creating Audio Models based on your own audio files and experiment on the types of sounds they can grow to be.



Features
- Wide selection of factory presets and Audio Models
- Integrated audio sample importer and Audio Model editor
- Pitch and (layer) depth envelopes that can be edited by the user
- Envelope times can be controlled separately via MIDI velocity
- Several LFO:s (including Sample and Hold with randomness)
- Modulation matrix (2 x MIDI CC, Velocity and Keymap)
- Monophonic playback with separate glide times for pitch and velocity
- Polyphonic legato playback where started notes syncs envelopes with currently playing ones
- Up to 4 doubling voices with separate pitch, pan and level
- Filter with modulation possibilities
- Post Reverb, Delay and EQ

カスタマーレビュー・評価

5.0
5つ星
 
1
4つ星
 
0
3つ星
 
0
2つ星
 
0
1つ星
 
0

最新ストアランキングと月間ランキング推移

TomofonのiPadアプリランキングや、利用者のリアルな声や国内や海外のSNSやインターネットでの人気状況を分析しています。

基本情報

仕様・スペック

対応OS
13.0 以降
容量
1.1 G
推奨年齢
全年齢
アプリ内課金
なし
更新日
2023/06/27

リリース日
2023/02/16

集客動向・アクティブユーザー分析

オーガニック流入

 

 

 

アクティブ率

 

 

※この結果はTomofonのユーザー解析データに基づいています。

利用者の属性・世代

アプリ解析デモグラフィックデータ(男女年代比率52%)

聞いてないよォ

デモグラフィックデータを元にユーザー層の性別や年齢分布などを考慮して推定しています。

ネット話題指数

開発会社の配信タイトル

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