Effacer les filtres
Effacer les filtres

audio wave filter out bandpass 900-1kHz

2 vues (au cours des 30 derniers jours)
ting po chun
ting po chun le 23 Juin 2023
Commenté : ting po chun le 23 Juin 2023
Hi;
I want to filter the recorded audio file out of the 900-1kHz range and convert it into an impulse response. How can I do it?

Réponses (1)

Deep
Deep le 23 Juin 2023
You can read your audio file using the audioread function:
[y, Fs] = audioread('audiofile.wav');
More info: audioread
To filter out the 900-1kHz range, you can use a bandstop filter. MATLAB provides the designfilt function for this purpose:
d = designfilt('bandstopiir', 'FilterOrder', 2, ...
'HalfPowerFrequency1', 900, 'HalfPowerFrequency2', 1000, ...
'DesignMethod', 'butter', 'SampleRate', Fs);
filtered_audio = filtfilt(d, y);
More info:
Finally, you can convert the filtered audio into an impulse response using the inverse Fast Fourier Transform, provided by the ifft function:
impulse_response = ifft(filtered_audio);
More info: ifft
This impulse response might not be in a playable range, so you might want to normalize it:
impulse_response = impulse_response / max(abs(impulse_response));
Please explore the documentation links provided to understand more about the functions used.
  3 commentaires
Deep
Deep le 23 Juin 2023
Sure, plotting can be done by simply using the plot function.
% Define the sample rate. You can check this in your WAV file's properties.
Fs = 44100;
% Create a time vector
t = (0:length(impulse_response)-1)/Fs;
% Plot the impulse response
plot(t, impulse_response);
xlabel('Time (s)');
ylabel('Amplitude');
title('Impulse Response');
Hope this helps! :)
ting po chun
ting po chun le 23 Juin 2023
Thank you so much again!

Connectez-vous pour commenter.

Catégories

En savoir plus sur Audio Processing Algorithm Design dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by