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QuestionNOAA's National Centers for Environmental Information collects global climate data and aggregates this data to provide information on climate trends and variability. One product they offer is a monthly regional analysis. The following table gives "an Pin
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AnswerRe: NOAA's National Centers for Environmental Information collects global climate data and aggregates this data to provide information on climate trends and variability. One product they offer is a monthly regional analysis. The following table gives Pin
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AnswerRe: NOAA's National Centers for Environmental Information collects global climate data and aggregates this data to provide information on climate trends and variability. One product they offer is a monthly regional analysis. The following table gives Pin
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AnswerRe: NOAA's National Centers for Environmental Information collects global climate data and aggregates this data to provide information on climate trends and variability. One product they offer is a monthly regional analysis. The following table gives Pin
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AnswerAI: how to distinguish music from voice Pin
David_Spector20-Jul-20 3:25
David_Spector20-Jul-20 3:25 
Basic Ideas

Here are some suggestions for distinguishing music from voice: Music usually has melody, which uses a wider range of sustained frequencies than voice. Polyphonic music has harmony, which uses more chords than does voice. A chord usually has multiple harmonics and subharmonics, while voice is much more limited in its harmonics.

Programming Approach

As general guidance, I would write tests based on realtime Fourier analysis, comparing samples of the range of music and the range of voice which you wish to distinguish (you have to make decisions about this so you know when you are successful). Each test can yield a measurement of effectiveness that you can use to direct the evolution of your ideas and program. Basically, if a test program gets 50% correct answers when faced with music and voice samples, then it is 0% successful, but if it gets 100% correct answers, it is 100% successful for that set of samples.
David Spector

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QuestionRight approach for Dynamic Programming Pin
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Questionwhat is being done in this algorithim Pin
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QuestionDynamic Programming / Greedy algorithm - Best time with constraints Pin
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