Ive been experimenting with the FFT algorithm. I use NAudio along with a working code of the FFT algorithm from the internet. Based on my observations of the performance, the resulting pitch is inaccu
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
I want to plot the pitch of a sound into a graph. Currently I can plot the amplitude. The graph below is created by the data returned by getUnscaledAmplitude():
I\'m looking to extract pitches from a sound signal. Someone on IRC just explained to me how taking a double FFT achieves this. Specifically:
I\'m french so I\'m sorry if you have trouble to unders开发者_JAVA技巧tand some of my sentences.
I am using auto correlation function to detect pitch of the signal. I am using the equa开发者_如何学编程tion
I have recently spotted that it is possible in iOSto use OpenAL to pitch shift. I am looking at Hollance\'s sound bank player. it takes in 15 or so piano notes spattered through the range, and plays
I am attempting to extract pitch data from an audio stream.From what I can see, it looks as though FFT is the best algorithm to use.
I recently asked this question: I am looking for an algorithm to detect pitch.one of the answers suggested thatI use an initial FFTto get the basic frequency response,figure out which frequencies are
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.
加载中,请稍侯......