Metadata-Version: 2.1
Name: wav2mel
Version: 0.3.0
Summary: Convert WAV files to Mel spectrograms
Home-page: https://github.com/synesthesiam/wav2mel
Author: Michael Hansen
Author-email: mike@rhasspy.org
License: UNKNOWN
Description: # wav2mel
        
        Converts WAV audio [1] to Mel spectrograms for use in machine learning systems like Tacotron2.
        
        This library contains portions of the copy-pasted code you see everywhere for WAV to Mel conversion.
        
        [1] Or any audio format supported by [librosa](https://librosa.org) (which uses [soundfile](https://pysoundfile.readthedocs.io) and [audioread](https://github.com/beetbox/audioread)).
        
        ## Installation
        
        ```sh
        pip install wav2mel
        ```
        
        ## Dependencies
        
        * Python 3.6 or higher
        * librosa, numpy, scipy, numba
        
        ## Format
        
        `wav2mel` outputs [numpy save data](https://numpy.org/doc/stable/reference/generated/numpy.save.html): one `.npy` file each input file. 
        
        ## Usage
        
        You can convert a single WAVE file from `.wav` to a mel spectrogram (`.npy`) as follows:
        
        ```sh
        wav2mel < WAVE_FILE > NPY_FILE
        ```
        
        Multiple WAVE files can also be converted and saved to a directory:
        
        ```sh
        wav2mel --output-dir /path/to/mels WAVE_FILE [WAVE_FILE ...]
        ```
        
        Each `.npy` file will be named after the corresponding `.wav` file.
        
        See `wav2mel --help` for more options (filter/hop/window length, sample rate, etc.).
        
        ## With GNU Parallel
        
        ```sh
        find /path/to/wavs -name '*.wav' -type f | parallel -X wav2mel --output-dir /path/to/mels
        ```
        
        ## mel2wav (Griffin-Lim)
        
        You can convert a mel spectrogram to WAV audio too using [griffin-lim](https://paperswithcode.com/method/griffin-lim-algorithm):
        
        ```sh
        mel2wav < NPY_FILE > WAVE_FILE
        ```
        
        or
        
        ```sh
        mel2wav --output-dir /path/to/wavs NPY_FILE [NPY_FILE ...]
        ```
        
        See `mel2wav --help` for more options.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
