Echochops 2.1.0

"Echochops" is an innovative Karaoke echo machine that introduces users to a unique delay effect. The application allows spoken words into the iPhone's microphone to be echoed back after a set time interval, resembling the reverberation heard in mountain environments. By adjusting parameters such as delay time and feedback rate, users can experiment with various effects.

Utilizing "Echochops" offers creative possibilities beyond musical applications. Users can produce rhythmic patterns by tapping on surfaces or clapping hands, transforming everyday sounds into musical expressions. Additionally, the device's portability enables users to enjoy repeated sounds while moving about in their surroundings.

The application excels in creating a feedback delay effect, commonly used for enhancing vocals and guitar performances. Apart from musical endeavors, "Echochops" lends itself to experimental noise manipulation.

Key Features:

• Input and output level meters
• Adjustable input and output levels
• Customizable delay time (up to 60 seconds)
• Control over feedback rate (0% to 100%)
• Direct and delay balance adjustment
• Four audio filter types (Lowpass, Highpass, Bandpass, Notch)
• Audio filter frequency and Q settings
• Parameter control through audio levels, tilting, and device rotation (compass-equipped devices only)
• Mode selection for different effects: "Glitch" or "Funny"
• Output route options: headphone/receiver or speaker
• Tilt angle configuration for control
• Portrait mode for efficient microphone and speaker utilization
• Ability to erase delayed sound
• Synchronizes with iPod audio playback
• Supports background audio playback (iOS 4.0 and later)

Please note:

• User discretion advised: Due to inherent audio input and output latency, the actual delay may vary slightly from the selected setting. Natural feedback loops may occur due to the close proximity of the iPhone's microphone and speaker.
• May produce distorted or noisy sounds depending on parameter configurations; caution is recommended when using the application in noisy environments.
• Acknowledgments: Special thanks to Mr. Kaoru Sato (EP-4)