# Audio Analysis Library
This library provides a set of tools for audio analysis, similar to librosa. It includes functionalities for audio file I/O, spectral representations, audio feature extraction, and basic audio effects.
## Installation
To install the library, run the following command:
```
pip install audio_analysis_lib
```
## Usage
Here are some basic examples of how to use the library:
### Reading and Writing Audio
```python
from audio_analysis.io import read_audio, write_audio
# Read an audio file
audio_data, sample_rate = read_audio('path/to/your/audio.wav')
# Write audio data to a file
write_audio(audio_data, sample_rate, 'path/to/output/audio.wav')
```
### Spectral Representations
```python
from audio_analysis.spectral import calculate_stft, calculate_istft
# Compute the Short-Time Fourier Transform
frequencies, times, stft_matrix = calculate_stft(audio_data, sample_rate)
# Inverse Short-Time Fourier Transform to reconstruct the audio signal
audio_data_reconstructed = calculate_istft(stft_matrix, sample_rate)
```
### Feature Extraction
```python
from audio_analysis.features import mfcc
# Compute Mel-frequency cepstral coefficients
mfcc_features = mfcc(audio_data, sample_rate)
```
### Audio Effects
```python
from audio_analysis.effects import change_pitch, time_stretch
# Change the pitch of the audio signal
pitch_shifted_audio = change_pitch(audio_data, sample_rate, semitone_shift=2)
# Stretch the time of the audio signal
stretched_audio = time_stretch(audio_data, stretch_factor=1.5)
```
For more detailed documentation and advanced usage, please refer to the individual module docstrings within the library.
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"description": "# Audio Analysis Library\n\nThis library provides a set of tools for audio analysis, similar to librosa. It includes functionalities for audio file I/O, spectral representations, audio feature extraction, and basic audio effects.\n\n## Installation\n\nTo install the library, run the following command:\n\n```\npip install audio_analysis_lib\n```\n\n## Usage\n\nHere are some basic examples of how to use the library:\n\n### Reading and Writing Audio\n\n```python\nfrom audio_analysis.io import read_audio, write_audio\n\n# Read an audio file\naudio_data, sample_rate = read_audio('path/to/your/audio.wav')\n\n# Write audio data to a file\nwrite_audio(audio_data, sample_rate, 'path/to/output/audio.wav')\n```\n\n### Spectral Representations\n\n```python\nfrom audio_analysis.spectral import calculate_stft, calculate_istft\n\n# Compute the Short-Time Fourier Transform\nfrequencies, times, stft_matrix = calculate_stft(audio_data, sample_rate)\n\n# Inverse Short-Time Fourier Transform to reconstruct the audio signal\naudio_data_reconstructed = calculate_istft(stft_matrix, sample_rate)\n```\n\n### Feature Extraction\n\n```python\nfrom audio_analysis.features import mfcc\n\n# Compute Mel-frequency cepstral coefficients\nmfcc_features = mfcc(audio_data, sample_rate)\n```\n\n### Audio Effects\n\n```python\nfrom audio_analysis.effects import change_pitch, time_stretch\n\n# Change the pitch of the audio signal\npitch_shifted_audio = change_pitch(audio_data, sample_rate, semitone_shift=2)\n\n# Stretch the time of the audio signal\nstretched_audio = time_stretch(audio_data, stretch_factor=1.5)\n```\n\nFor more detailed documentation and advanced usage, please refer to the individual module docstrings within the library.\n\n\n",
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