SPL Graph vs MusiKraken

SPL Graph is an audio Sound Pressure Level (SPL) environmental noise analyzer, real-time frequency analyzer, chart recorder and data logger. It includes: * Plot sound level over time * Record audio while plot is running, playback to identify sounds that may have caused problems * Capture video of events (optional in-app purchase) * Do octave and 1/3 octave band analysis (optional in-app purchase) * Show a 3D Plot of octave or 1/3 octave results * Calculate Ln SPL values, L01, L10, L50, L90, L95, LMax and LMin * Email notifications when sound exceeds pre-set limits * Auto-save results after set intervals, and email the results to you * Start another plot after auto-saving for continuous operation SPL Graph works by averaging the SPL for a period of time that can vary from 0.1 second to 60 minutes, applying an optional weighting filter, and plotting the sound level, recording the raw audio signal, if recording is turned on. For sound intervals of 1.0 second to 60 minutes, the optional octave and 1/3 octave logging modules allows storing the spectrum of the sound, for each interval. The app works very well with the built-in iOS device microphone. To upgrade the app to true professional standards, add our iTestMic, iPrecisionMic, or iAudioInterface2 with an appropriate microphone, and get ANSI or ISO Type 1 or 2 results. With iPrecisionMic, you can send the system in to our calibration lab and get a calibration certificate for ISO 61672 and ANSI S1.4. SPL Graph can record up to 24 hours of sound level data, with single second resolution. The graph starts with a one-minute plot window, and as a minute is recorded, the graph re-scales automatically and adds another minute to show the data collected so far. The overall SPL level, or LEQ, is displayed for whatever portion of the test is showing on the graph. Tap the play button to play back the recorded audio, and you can use the cursor to scrub the audio location on the graph. Use this feature to listen to events that you can see on the graph. With the optional octave logging module, you can also record the octave or 1/3 octave band levels. And, you can view the data on the 3D plot for a graphical view of frequency over time. You can scroll and scale the graph vertically, in dB, by using standard swipe and pinch gestures. You can also scroll and expand and contract the time axis using gestures. Zoom out to a full 24 hours, or zoom in to a single minute, showing second resolution. Double-tap the screen to zoom out to show the entire graph on the screen. The time scale grid changes dynamically, highlighting minutes, ten-minute, and hour lines as as it runs. As the graph runs, the overall LEQ (average SPL) for the entire time period is computed and displayed on the screen. Swiping across the graph brings up a cursor that displays the exact dB level and time for any point on the graph. You can turn on audio recording, so that you have a record of the sounds that were happening while the graph was being stored. You can use this to figure out exactly what the sound was that caused a peak on the graph, for example. Recordings can be compressed or uncompressed. If you exit the app, or are interrupted with a phone call, the graph data will not be lost. SPL Graph will automatically save the graph, and reload it when you next open the program. You can also save a graph in one of ten files on the iPhone, so that you can recall the graph later. SPL Graph supports saving graphs directly on your iOS device. You can recall these graphs and bring them up on the screen, and listen to the sounds that were made while the graph was recorded. You can also store an image of the screen to your photo roll. Use Dropbox or iTunes Files Sharing to export the results to your computer. You can also export data in tab-delimited files for XLS import using iCloud. The filters are all ANSI type 1 or better, and include A-weighting, C-weighting, and all octaves band filters from 32 to 16kHz.

MusiKraken is a modular MIDI Controller Construction Kit, empowering you to fully harness the capabilities of your mobile device's hardware. Winner of a 2022 MIDI Innovation Award! Make music using device sensors like Touch, Motion Sensors, Camera (face, hand, body and color tracking, including TrueDepth and LiDAR support) and Microphone, or connected devices like Game Controllers, Apple Watch or AirPods. Choose from several types of modules in the editor and connect the ports to create your own personal MIDI controller setup. Route the MIDI signals through effect modules to control multiple instruments simultaneously or invent creative new MIDI controller combinations. MusiKraken supports sending and receiving MIDI data over Wi-Fi, Bluetooth or via Core MIDI (for example by using Inter-Device Audio and MIDI (IDAM)). And it can host Audio Unit (AUv3) instrument plugins. Or send the sensor data via OSC. MusiKraken is also one of the first apps to officially support MIDI 2.0! You already own a very powerful device with all kinds of sensors and connection possibilities. With this app you can use these sensors as inputs, combine them with all kinds of MIDI effects and send the resulting MIDI events to your computer, synthesizer, any other MIDI-capable app or Audio Unit to to create your own, expressive MIDI controller setup. Your device for example has a multitouch screen. Use this with the Keyboard module to slide on the keys to control multiple musical parameters simultaneously. Using MPE, MIDI 2.0 or the Chord Splitter also allows you to control these parameters separately per key. Newer devices also support tracking the finger radius (or pressure on older devices), which adds another dimension of control. Multitouch is also used by the Chords Pad to play the chords of a selected scale, or the Touchpad, which allows you control values via touch gestures. Another unique input sensor is the camera: MusiKraken supports tracking your hands in front of the camera, your body pose, your face or objects with specific colors. This way you can for example use your iOS device as a Theremin, jump or dance around in front of the camera to generate notes or control audio parameters, use your mouth to control the sound of a virtual trumpet, or any other combination. If your device has a TrueDepth or LiDAR sensor, you can also use the distances as input values. Your device also has motion sensors: Accelerometer, Gyroscope and Magnetometer. They can be either used separately, or combined to get the current rotation of the device in three dimensions. Use this to generate sounds or control parameters while shaking or tilting your device. Your device also has a microphone, and MusiKraken can detect the pitch or amplitude of the signal. Your iOS device also allows you to connect to external devices. MusiKraken for example supports Game Controllers (trigger events on button or thumbstick changes, motion sensors, haptics and light on supported Game Controllers), Apple Watch (motion sensors, digital crown, touch, heart rate) or the motion sensors within AirPods. The real power comes once you start combining the sensors with the effect modules. There are effects that can be used to change or filter the MIDI events. Some effects allow you to combine multiple input sources into new output values. Or splits chords into separate notes so that they can be sent to different channels. Important: Please note that some of the modules only work on iOS devices with specific hardware: ARKit Face Tracking and the TrueDepth module need a TrueDepth front camera, and Hand and Body Pose Tracking needs at least iOS 14, and might be too slow on older devices. HealthKit is used in the app to access Apple Watch data like heart beat or motion sensors. The app only uses sensor data to generate MIDI events.