pitch-tracking

问题 Whats a good digital signal processing algorithm that is good on guitar chords? Since Fast Fourier Transform I think only is accurate on single notes played on the guitar but not notes that are played simultaenously (i.e. chords). Thanks! 回答1: The short answer is that you need much more than one algorithm. Good chord recognition methods could more aptly be described as "systems", but usually they are indeed based on an initial transform to the frequency domain (most often DFT). If you want a

问题 Since I'm new to App Inventor2 tool, I'm having a little issue trying to get a "pitch" value to trigger the visibility of a label. I need to have a label being shown when the "AccelerometerSensor", reaches the -30 or 30 degrees point. To make this happen I'm using the "zAccel" value and the app runs in landscape mode, with the home button on the right side of the android device. The following image shows the blocks I've used so far, without much success, as the "Warning" is visible all the

问题 I have simply pitch detection. Input (microphone) data are passed to fft routine, then I'm looking for a pitch with maximum value It means: Max(pow(data[i].getRe(), 2) + pow(data[i].getIm(), 2)) for 0<= i < SAmplesSize I need it for detection of guitar string's primary frequency. It works well for freq 440 hz (and maybe higher, i didn't check that) downto 250 hz. Below this value detected frequency is twice as high as it should be, ie. for 195 hz detected frequency is about 380 hz. It looks

问题 With limited resources such as slower CPUs, code size and RAM, how best to detect the pitch of a musical note, similar to what an electronic or software tuner would do? Should I use: Kiss FFT FFTW Discrete Wavelet Transform autocorrelation zero crossing analysis octave-spaced filters other? In a nutshell, what I am trying to do is to recognize a single musical note, two octaves below middle-C to two octaves above, played on any (reasonable) instrument. I'd like to be within 20% of the

问题 I'm new to this field - but I need to perform a WAV-to-MIDI conversion in java. Is there a way to know what exactly are the steps involved in WAV-to-MIDI conversion? I have a very rough idea as in you need to; sample the wav file, filter it, use FFT for spectral analysis, feature extraction and then write the extracted features on to MIDI. But I cannot find solid sources or papers as in how to do all that? Can some one give me clues as in how and where to start? Are there any Open Source APIs

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 5 years ago . I'm trying to do real-time pitch detection using C++. I'm testing some code from performous (http://performous.org/), because everything else hasn't worked for me. I know for sure that this works, but i just cant get it to work. I've been trying this for a few weeks now, and I haven't been able to get any pitch

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 11 months ago . There's this tech-festival in IIT-Bombay, India, where they're having an event called "Artbots" where we're supposed to design artbots with artistic abilities. I had an idea about a musical robot which takes a song as input, detects the notes in the song and plays it back on a

问题 I'm trying to do real time pitch detection of a users singing, but I'm running into alot of problems. I've tried lots of methods, including FFT (FFT Problem (Returns random results)) and autocorrelation (Autocorrelation pitch detection returns random results with mic input), but I can't seem to get any methods to give a good result. Can anyone suggest a method for real-time pitch tracking or how to improve on a method I already have? I can't seem to find any good C / C++ methods for real time

问题 How can I calculate the Fundamental frequency of microphone input audio signal using GetSpectrumData in Unity ? 来源： https://stackoverflow.com/questions/42694778/how-can-i-use-harmonic-product-spectrum-algorithm-for-overtone-rich-monophonic-p

问题 As seen in comment link a pitch by Talkin’s Robust Algorithm for Pitch Tracking in voicebox (function name is "fxrapt") is extracted. http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/doc/voicebox/fxrapt.html However, I need to find pitch pulses in the LP error signal by detecting the maximum amplitude within each pitch period. For each pitch pulse, a Hamming window of two pitch periods long. if T(i-1), T(i), T(i+1) denote the locations of three successive pitch pulses. How can I design a analysis