Find the depth of my vibrato sound while singing a sustained note C4 /u/Keypass1236 Python Education

As part of my school project, I recorded a wav file and am trying to analyze the file to get the amplitude , min frequency, standard deviation etc . I did the below in Python but the numbers are off

I get the below. The SD is more than the max. Also, human voice cant be this high frequency ( no background) . Any suggestions ?

Maximum Frequency: 263.0 Hz

Maximum Amplitude: 944.6695556640625

Median Frequency: 5512.454545454546 Hz

Mean Frequency: 5512.454545454545 Hz

Standard Deviation of Frequencies: 3182.643358799615 Hz

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import librosa

import numpy as np

# Specify the path to the audio file

audio_file = ‘clip.wav’

# Load the audio file

y, sr = librosa.load(audio_file)

# Compute the Short-Time Fourier Transform (STFT)

D = np.abs(librosa.stft(y))

# Convert amplitude to decibels

DB = librosa.amplitude_to_db(D, ref=np.max)

# Get the frequency and time bins

frequencies = librosa.fft_frequencies(sr=sr)

times = librosa.frames_to_time(np.arange(D.shape[1]), sr=sr)

# Calculate the maximum frequency and amplitude

max_amp_index = np.unravel_index(np.argmax(DB, axis=None), DB.shape)

max_freq = frequencies[max_amp_index[0]]

max_amplitude = DB[max_amp_index]

max_time = times[max_amp_index[1]]

# Calculate the median frequency

median_freq = np.median(frequencies)

# Calculate the mean frequency

mean_freq = np.mean(frequencies)

# Calculate the standard deviation of frequencies

std_freq = np.std(frequencies)

print(f’Maximum Frequency: {max_freq} Hz’)

print(f’Maximum Amplitude: {max_amplitude} dB’)

print(f’Time at Maximum Amplitude: {max_time} seconds’)

print(f’Median Frequency: {median_freq} Hz’)

print(f’Mean Frequency: {mean_freq} Hz’)

print(f’Standard Deviation of Frequencies: {std_freq} Hz’)

As part of my school project, I recorded a wav file and am trying to analyze the file to get the amplitude , min frequency, standard deviation etc . I did the below in Python but the numbers are off

I get the below. The SD is more than the max. Also, human voice cant be this high frequency ( no background) . Any suggestions ?

Maximum Frequency: 263.0 Hz

Maximum Amplitude: 944.6695556640625

Median Frequency: 5512.454545454546 Hz

Mean Frequency: 5512.454545454545 Hz

Standard Deviation of Frequencies: 3182.643358799615 Hz

_____________________________________________________________________

import librosa

import numpy as np

# Specify the path to the audio file

audio_file = ‘clip.wav’

# Load the audio file

y, sr = librosa.load(audio_file)

# Compute the Short-Time Fourier Transform (STFT)

D = np.abs(librosa.stft(y))

# Convert amplitude to decibels

DB = librosa.amplitude_to_db(D, ref=np.max)

# Get the frequency and time bins

frequencies = librosa.fft_frequencies(sr=sr)

times = librosa.frames_to_time(np.arange(D.shape[1]), sr=sr)

# Calculate the maximum frequency and amplitude

max_amp_index = np.unravel_index(np.argmax(DB, axis=None), DB.shape)

max_freq = frequencies[max_amp_index[0]]

max_amplitude = DB[max_amp_index]

max_time = times[max_amp_index[1]]

# Calculate the median frequency

median_freq = np.median(frequencies)

# Calculate the mean frequency

mean_freq = np.mean(frequencies)

# Calculate the standard deviation of frequencies

std_freq = np.std(frequencies)

print(f’Maximum Frequency: {max_freq} Hz’)

print(f’Maximum Amplitude: {max_amplitude} dB’)

print(f’Time at Maximum Amplitude: {max_time} seconds’)

print(f’Median Frequency: {median_freq} Hz’)

print(f’Mean Frequency: {mean_freq} Hz’)

print(f’Standard Deviation of Frequencies: {std_freq} Hz’)