pitch

I am working on a tilt app for Android. I am having an issue with Portrait & landscape mode. When the pitch = 90 degrees (phone on end) and even slightly before the roll value goes crazy when there has been no physical change in roll. I have not been able to find a solution to this problem. If anyone can point me in the right direction, it would be appreciated. Here’s a short code dump, so you know it is not an accelerometer error. final SensorEventListener mEventListener = new SensorEventListener(){ public void onAccuracyChanged(Sensor sensor, int accuracy) {} public void onSensorChanged

Recently I saw a video lecture in my CS 101 class that inspired me to start playing with the WAV File Format in C. My project today has been creating sounds using a simple mathematical sine function. Despite a couple obstacles, my program can now accept several inputs(frequencies of waves, amplitudes of waves, sampling rate, etc.) and create a wav file containing the specified pitches. However, when playing these tones on my computer speakers, there is a strange, rhythmic popping sound, which varies with the sampling rate. At higher sampling rates, the frequency of the popping sound increases

I am creating a pitch detection program that extracts the fundamental frequency from the power spectrum obtained from the FFT of a frame. This is what I have so far: divide input audio signal into frames. multiply frame with a Hamming window compute the FFT and magnitude of the frame sqrt(real^2 + img^2) find the fundamental frequency (peak) by harmonic product spectrum convert the frequency of the peak (bin frequency) to note (e. g. ~440 Hz is A4) Now the program produces an integer with value from 0 to 87 for each frame. Each integer corresponds to a piano note according to a formula I found

I am attempting to extract a fundamental frequency from a sound source. maybe someone is singing A3 into the microphone, so I want to be detecting ~ 110Hz my approach is: FFT 1024 floats use the phase of each bin to accurately determine its precise frequency determine peaks (typically 50 or so) order them with the loudest first (Peak[0].power=1063.343750, .freq=2032.715088 (Peak[1].power=1047.764893, .freq=3070.605225 (Peak[2].power=1014.986877, .freq=5925.878418 (Peak[3].power=1011.707825, .freq=6963.769043 (Peak[4].power=1009.152954, .freq=4022.363037 (Peak[5].power=995.199585, .freq=4974

I am recoding a file or I have audio file I want to change the pitch and play the audio file. How can I set the pitch in a iphone program that is using objective-c. Please help me out of this. Thank you, Madan Mohan. The naive approach is to play it using a different sampling rate as compared to the sampling rate used to record the file. For example, if the file was recorded with Fs=44100Hz, then playing it with Fs=22050Hz, will give you half the original pitch. Of course this naive approach involves changing the duration of the file, and other sound-related artifacts. If you need something

I want to detect not the pitch, but the pitch class of a sung note. So, whether it is C4 or C5 is not important: they must both be detected as C. Imagine the 12 semitones arranged on a clock face, with the needle pointing to the pitch class. That's what I'm after! ideally I would like to be able to tell whether the sung note is spot-on or slightly off. This is not a duplicate of previously asked questions, as it introduces the constraints that: the sound source is a single human voice , hopefully with negligible background interference (although I may need to deal with this) the octave is not