pydub
pyAudioAnalysis
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pydub | pyAudioAnalysis | |
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25 | 11 | |
8,316 | 5,659 | |
- | - | |
0.0 | 5.0 | |
14 days ago | 19 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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pydub
- Looking for help with a winamp project please.
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Best language(s) for creating/manipulating sounds
Honestly while, C++ is used for professional audio software, you can get a lot done with python and a library like pydub, or you can even learn to manipulate audio files without any libraries in any language. So if you are not particulary interested in C++ at the moment you can start with Python, which is easier to learn. You can check out other python audio manipulation libraries here
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ChatGPT and Whisper APIs
I doubt it will matter if you're breaking up mid sentence if you pass in the previous as a prompt and split words. This is how Whisper does it internally.
It's not absolutely perfect, but splitting on the word boundary is one line of code with the same package in their docs: https://github.com/jiaaro/pydub/blob/master/API.markdown#sil...
25MB is also a lot. That's 30 minutes to an hour on MP3 at reasonable compression. A 2 hour movie would have three splits.
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FFmpeg 6.0
Even given an option it can be difficult to find the corresponding documentation, if only because of the many different submodules and encoders and decoders and filters that have o-so-slightly different options. That said, I've just switched from pydub to ffmpeg-python (due to memory issues of the former[1]) and judging from the Jupiter notebook[2] it seems a much more intuitive method of constructing ffmpeg pipelines.
[1] https://github.com/jiaaro/pydub/issues/135
[2] https://github.com/kkroening/ffmpeg-python/tree/master/examp...
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Download & Trim MP3 from Youtube with Python
With the file downloaded, we're now going to arbitrarily slice it locally (you might have considered wheter it is possible to simply download a clip from youtube; all reliable methods I've found will essentially boil down to downloading the whole and then editing locally). For that we'll use the pydub library:
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Playing multiple .wav and/or mp3 files in Python
I guess it's possible in theory, a quick search suggest pydub library.​But you may find something better if you do a little research.
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I made a cross-platform command-line app called maestro to play music!
Uses https://github.com/cheofusi/just_playback to play sound. It's actually surprising how hard it was to find a cross-platform Python module to play sound that doesn't require an external dependency like ffmpeg. Even then, modules like https://github.com/jiaaro/pydub don't support features like seeking/scrubbing, which was a must-have for my project.
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Batch conversion FLAC to WAV
Once python is installed, you will also need to install the "pydub" package for this script to work. If you're on a Windows computer, you can do this from the command line (run the "cmd") program. If you're on mac, you can do this from the terminal. Basically, the way that you do this is using "pip" -- a "helper" program that comes with python. Once you launch the command line, just run the command python -m pip install pydub --upgrade and you should see a message showing that it successfully installed. If you're struggling with this step, just google how to "pip install python packages" and you can find a lot of beginner guides.
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How can I modify the pitch of an audio file and save it to disk?
That is kinda what serverless functions are built for. Looks like python has some good libraries for this: https://github.com/jiaaro/pydub.
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Playing large audio files?
The files are big, so it's not feasible to load one in all at once. They have to be streamed/chunked somehow. (sadly, pydub doesn't support this...)
pyAudioAnalysis
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How would I compare two voice recordings of the same sentence and advise one speaker how to get closer to the second?
I actually came up with an el cheapo version of what I want to accomplish that isn't perfect but without any research can implement it and it may actually prove useful to language learners. PM me if you're interested in hearing it and critiquing it. I can share here that I'm using this guy's multiple repos though: https://github.com/tyiannak/pyAudioAnalysis
- How do I run code only when an audio file has bass
- A Python library for audio feature extraction, classification, segmentation and applications
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Phonetic search for audio files
Update: From one researcher to another. I was referred to a Python Audio AI project . Once I determine exactly which module to use I should be smooth sailing. I'll send more updates soon.
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Clustering songs with different lengths
Hey folks, I'm looking into clustering audio files with features extracted by pyAudioAnalysis. However, every feature (I'm interested in MFCC, spectral centroid and spread, and BPM) is extracted for each frame of the song (by default 0.05s, excluding BPM that relates to the whole) so tracks with different lengths produce arrays with different shapes.
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AUDIO ANALYSIS WITH LIBROSA
To learn more about pyAudioAnalysis here you go.
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Creating Audio Features with PyAudio Analysis
Humans are great at classifying noises. We can hear a chirp and surmise that it belongs to a bird, we can hear an abstract noise and classify it as as speech with a particular meaning and definition. This relationship between humans and audio classification forms the basis of speech and human communication as a whole. Translating this incredible ability to computers on the other hand can be a difficult challenge to say the least. Whilst we can naturally decompose signals, how do we teach computers to do this, and how do we show what parts of the signal matter and what parts of the signal are irrelevant or noisy? This is where PyAudio Analysis comes in. PyAudio Analysis is an open source Python project by Theodoros Giannakopoulos, a Principle researcher of multimodal machine learning at the Multimedia Analysis Group of the Computational Intelligence Lab (MagCIL). The package aims to simplify the feature extraction and classification process by providing a number of helpful tools at can sift through the signal and create relevant features. These features can then be used to train models for classification tasks.
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[P] Feature extraction for acoustic signals
This might be relevant, which has a set of feature extraction methods implemented: https://github.com/tyiannak/pyAudioAnalysis/wiki/3.-Feature-Extraction
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Hacker News top posts: Dec 11, 2021
A library for audio feature extraction, regression, classification, segmentation\ (2 comments)
- Audio feature extraction, classification, segmentation and applications
What are some alternatives?
librosa - Python library for audio and music analysis
SpeechRecognition - Speech recognition module for Python, supporting several engines and APIs, online and offline.
ffmpeg-python - Python bindings for FFmpeg - with complex filtering support
pyAcoustics - A collection of python scripts for extracting and analyzing acoustics from audio files.
mutagen - Python module for handling audio metadata
mingus - Mingus is a music package for Python
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
Watson Developer Cloud Python SDK - :snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
m3u8 - Python m3u8 Parser for HTTP Live Streaming (HLS) Transmissions
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)