| | import numpy as np |
| | import matplotlib.pyplot as plt |
| | import librosa.display |
| | import librosa |
| |
|
| |
|
| | def calculate_features(y, sr): |
| | stft = np.abs(librosa.stft(y)) |
| | duration = librosa.get_duration(y=y, sr=sr) |
| | cent = librosa.feature.spectral_centroid(S=stft, sr=sr)[0] |
| | bw = librosa.feature.spectral_bandwidth(S=stft, sr=sr)[0] |
| | rolloff = librosa.feature.spectral_rolloff(S=stft, sr=sr)[0] |
| | return stft, duration, cent, bw, rolloff |
| |
|
| |
|
| | def plot_title(title): |
| | plt.suptitle(title, fontsize=16, fontweight="bold") |
| |
|
| |
|
| | def plot_spectrogram(y, sr, stft, duration, cmap="inferno"): |
| | plt.subplot(3, 1, 1) |
| | plt.imshow( |
| | librosa.amplitude_to_db(stft, ref=np.max), |
| | origin="lower", |
| | extent=[0, duration, 0, sr / 1000], |
| | aspect="auto", |
| | cmap=cmap, |
| | ) |
| | plt.colorbar(format="%+2.0f dB") |
| | plt.xlabel("Time (s)") |
| | plt.ylabel("Frequency (kHz)") |
| | plt.title("Spectrogram") |
| |
|
| |
|
| | def plot_waveform(y, sr, duration): |
| | plt.subplot(3, 1, 2) |
| | librosa.display.waveshow(y, sr=sr) |
| | plt.xlabel("Time (s)") |
| | plt.ylabel("Amplitude") |
| | plt.title("Waveform") |
| |
|
| |
|
| | def plot_features(times, cent, bw, rolloff, duration): |
| | plt.subplot(3, 1, 3) |
| | plt.plot(times, cent, label="Spectral Centroid (kHz)", color="b") |
| | plt.plot(times, bw, label="Spectral Bandwidth (kHz)", color="g") |
| | plt.plot(times, rolloff, label="Spectral Rolloff (kHz)", color="r") |
| | plt.xlabel("Time (s)") |
| | plt.title("Spectral Features") |
| | plt.legend() |
| |
|
| |
|
| | def analyze_audio(audio_file, save_plot_path="logs/audio_analysis.png"): |
| | y, sr = librosa.load(audio_file) |
| | stft, duration, cent, bw, rolloff = calculate_features(y, sr) |
| |
|
| | plt.figure(figsize=(12, 10)) |
| |
|
| | plot_title("Audio Analysis" + " - " + audio_file.split("/")[-1]) |
| | plot_spectrogram(y, sr, stft, duration) |
| | plot_waveform(y, sr, duration) |
| | plot_features(librosa.times_like(cent), cent, bw, rolloff, duration) |
| |
|
| | plt.tight_layout() |
| |
|
| | if save_plot_path: |
| | plt.savefig(save_plot_path, bbox_inches="tight", dpi=300) |
| | plt.close() |
| |
|
| | audio_info = f"""Sample Rate: {sr}\nDuration: {( |
| | str(round(duration, 2)) + " seconds" |
| | if duration < 60 |
| | else str(round(duration / 60, 2)) + " minutes" |
| | )}\nNumber of Samples: {len(y)}\nBits per Sample: {librosa.get_samplerate(audio_file)}\nChannels: {"Mono (1)" if y.ndim == 1 else "Stereo (2)"}""" |
| |
|
| | return audio_info, save_plot_path |
| |
|
