4.7
1,783 条评分
★★★★★
2026年5月12日
2019年1月20日
更新内容
v3.0.3- New and improved pitch notation system - Now you can set preferred tempo in custom exercises - Tap answer options to replay them after submitting - UI improvements and performance fixes
应用信息
- 开发者
- Crazy Ootka Software AB
- 分类
- Education
- 价格
- 免费
- 版本
- 3.0.3
- App ID
- 1440768353
简介
Train your ear. Improve your rhythm. Read music faster. Perfect Ear is a complete music training app for musicians who want to hear, read, and understand music with more confidence. Practice with guided courses, focused exercises, and custom drills for intervals, scales, chords, rhythm, sight reading, solfège, pitch, melodies, note singing, and music theory. Instead of learning theory in isolation, Perfect Ear turns musicianship into daily practice you can hear, play, sing, and recognize. WHAT YOU CAN PRACTICE • Interval recognition • Scale recognition • Chord recognition • Rhythm reading and tapping • Melodic dictation • Sight reading • Absolute pitch • Note singing • Solfège • Music theory and reference materials STRUCTURED LEARNING Follow guided courses from beginner to advanced. Build the fundamentals step by step, then deepen your skills with focused exercises as your ear improves. CUSTOM EXERCISES Create your own drills for ear training and rhythm. Customize intervals, chords, scales, rhythm patterns, directions, keys, ranges, and other parameters to match your level and goals. FOR MUSICIANS Use Perfect Ear to recognize chord progressions faster, improve timing, read notation with more confidence, sing more accurately, and understand what you hear. WHY PERFECT EAR • Beginner-friendly courses • Deep practice for advanced musicians • Piano and guitar-based exercises • Daily practice dashboard • Music theory reference materials • Flexible custom exercise builder • Recommended by music teachers worldwide Whether you are learning your first intervals or refining advanced musicianship, Perfect Ear gives you a structured way to train the skills that make music easier to hear, read, and understand.
下载量预测
预估总下载量
1K
低 / 月
1K
预估 / 月
3K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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