- Top 13 Python Libraries for manipulating Audio
- Audio Manipulation with Python:-
- 1. librosa
- 2. matchering
- 3. audioread
- 4. dejavu
- 5. Kapre
- 6. mingus
- 7. pyAudioAnalysis
- 8. pydub
- 9. TimeSide
- 10. Beets
- 11. eyeD3
- 12. Mutagen
- 13. tinytag
- Summary and Conclusion:-
- PyAudio
- Installation
- Windows
- macOS
- GNU/Linux
- Building from source
- Documentation & Usage Examples
- License
- Audio module for python
- Learn Latest Tutorials
- Preparation
- Trending Technologies
- B.Tech / MCA
- Javatpoint Services
- Training For College Campus
Top 13 Python Libraries for manipulating Audio
With Python Libraries, you can easily manipulate and process any type of audio you like. You can use these audio libraries for creating a different types of sound effects for your audio.
Audio Manipulation with Python:-
Python makes audio manipulation easy and makes the process simple for you. you can use a few lines of code and import some methods that someone else has created for you. I will mention some of the best python libraries that can help you in audio manipulation and audio processing.
There is a huge list of Python Libraries that can be used for audio manipulation. I will list 13 Python Libraries that are used for audio Manipulation and Metadata Extraction. Pick the one that suits you.
1. librosa
librosa is a python package for music and audio analysis. It provides the building blocks necessary to create music information retrieval systems.
2. matchering
matchering is a Python Library for audio matching and mastering. You can make your music instantly sound like your favorite artist’s music. You can make all the tracks on your new album sound the same very quickly. You can find new aspects of your sound in experiments.
3. audioread
audioread help you Decode audio files using whichever backend is available. The library currently supports Gstreamer, Core Audio, MAD, FFmpeg. Each buffer is a bytes-like object (buffer, bytes, or byte array) containing raw 16-bit little-endian signed integer PCM data. (Currently, these PCM format parameters are not configurable, but this could be added to most of the backends.
4. dejavu
Dejavu can memorize audio by listening to it once and fingerprinting it. Then by playing a song and recording microphone input or reading from disk, Dejavu attempts to match the audio against the fingerprints held in the database, returning the song being played.
5. Kapre
Kapre Preprocess your audio dataset. Resample the audio to the right sampling rate and store the audio signals (waveforms). In your ML model, add Kapre layer e.g. kapre.time_frequency.STFT() as the first layer of the model. The data loader simply loads audio signals and feed them into the model In your hyperparameter search, include DSP parameters like n_fft to boost the performance. When deploying the final model, all you need to remember is the sampling rate of the signal. No dependency or preprocessing!
6. mingus
mingus is an advanced, cross-platform music theory and notation package for Python with MIDI file and playback support. It can be used to play around with music theory, to build editors, educational tools, and other applications that need to process and/or play music. It can also be used to create sheet music with LilyPond.
7. pyAudioAnalysis
pyAudioAnalysis helps you audio feature extraction, classification, segmentation, and applications. mingus is a package for Python used by programmers, musicians, composers and researchers to make and analyse music.
8. pydub
pydub helps you Manipulate audio with a simple and easy high level interface. You can Make the beginning louder and the end quieter.
9. TimeSide
TimeSide is a python framework enabling low and high level audio analysis, imaging, transcoding, streaming and labeling. Its high-level API is designed to enable complex processing on very large datasets of any audio or video assets with a plug-in architecture, a secure scalable backend and an extensible dynamic web frontend.
10. Beets
Beets is the media library management system for obsessive music geeks. The purpose of beets is to get your music collection right once and for all. It catalogs your collection, automatically improving its metadata as it goes. It then provides a bouquet of tools for manipulating and accessing your music.
11. eyeD3
eyeD3 is a Python tool for working with audio files, specifically MP3 files containing ID3 metadata (i.e. song info). It provides a command-line tool (eyeD3) and a Python library (import eyed3) that can be used to write your own applications or plugins that are callable from the command-line tool.
12. Mutagen
Mutagen is a Python module to handle audio metadata. It supports ASF, FLAC, MP4, Monkey’s Audio, MP3, Musepack, Ogg Opus, Ogg FLAC, Ogg Speex, Ogg Theora, Ogg Vorbis, True Audio, WavPack, OptimFROG, and AIFF audio files. All versions of ID3v2 are supported, and all standard ID3v2.4 frames are parsed. It can read Xing headers to accurately calculate the bitrate and length of MP3s. ID3 and APEv2 tags can be edited regardless of audio format. It can also manipulate Ogg streams on an individual packet/page level.
13. tinytag
tinytag is a library for reading music meta data of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and Wave files with python.
Summary and Conclusion:-
These 13 Libraries will help you use python to manipulate audio. If you have any questions please let me know in the comment section. If you are interested in other python tutorials please visit my youtube channel Code with Ali.
I am a software Engineer having 4+ Years of Experience in Building full-stack applications.
PyAudio
PyAudio provides Python bindings for PortAudio v19, the cross-platform audio I/O library. With PyAudio, you can easily use Python to play and record audio on a variety of platforms, such as GNU/Linux, Microsoft Windows, and Apple macOS.
PyAudio is distributed under the MIT License.
Installation
See the INSTALLATION file in the source distribution for details. In summary, install PyAudio using pip on most platforms.
Windows
python -m pip install pyaudio
This installs the precompiled PyAudio library with PortAudio v19 19.7.0 included. The library is compiled with support for Windows MME API, DirectSound, WASAPI, and WDM-KS. It does not include support for ASIO. If you require support for APIs not included, you will need to compile PortAudio and PyAudio.
macOS
Use Homebrew to install the prerequisite portaudio library, then install PyAudio using pip :
brew install portaudio pip install pyaudio
GNU/Linux
Use the package manager to install PyAudio. For example, on Debian-based systems:
sudo apt install python3-pyaudio
Alternatively, if the latest version of PyAudio is not available, install it using pip . Be sure to first install development libraries for portaudio19 and python3 .
Building from source
See the INSTALLATION file.
Documentation & Usage Examples
- Read the API Documentation, or generate it from the source using sphinx .
- Usage examples are in the examples directory of the source distribution, or see the project homepage.
License
PyAudio is distributed under the MIT License. See LICENSE.txt.
Audio module for python
Learn Latest Tutorials
Preparation
Trending Technologies
B.Tech / MCA
Javatpoint Services
JavaTpoint offers too many high quality services. Mail us on h[email protected], to get more information about given services.
- Website Designing
- Website Development
- Java Development
- PHP Development
- WordPress
- Graphic Designing
- Logo
- Digital Marketing
- On Page and Off Page SEO
- PPC
- Content Development
- Corporate Training
- Classroom and Online Training
- Data Entry
Training For College Campus
JavaTpoint offers college campus training on Core Java, Advance Java, .Net, Android, Hadoop, PHP, Web Technology and Python. Please mail your requirement at [email protected].
Duration: 1 week to 2 week
Like/Subscribe us for latest updates or newsletter