inaSpeechSegmenter
madmom
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| inaSpeechSegmenter | madmom | |
|---|---|---|
| 3 | 2 | |
| 695 | 1,239 | |
| 2.9% | 1.9% | |
| 6.4 | 4.4 | |
| about 1 month ago | 5 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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inaSpeechSegmenter
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Listen to HD radio with a $30 RTL SDR dongle
I have a little hobby project where I record an FM radio music station using a SDR and then remove all the non-music portions for offline listening. I like the music selections the DJs pick, but I prefer not to listen to the DJ commentary and the advertisements.
I evaluated three methods of recording: analog capture from a standalone FM receiver, using this nrsc5 library to record the "HD" radio stream, and using an AirSpy SDR with this library: https://github.com/jj1bdx/airspy-fmradion
Recording the "HD" (what a misnomer) radio was nice in that there was no hiss or multipath effects, but in comparison to the other methods the digital compression artifacts became impossible to un-hear. It seems to top out at about 96 kbps
The airspy-fmradion library has some nice stuff in it to address multipath, resulting in the best audio quality of the three methods I tested.
I use https://github.com/ina-foss/inaSpeechSegmenter to identify which segments of the recordings are speech vs. music.
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(Unpopular?) opinion: KEXP’s John Richards is annoying AF
One key library that makes it possible is this one: https://github.com/ina-foss/inaSpeechSegmenter
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ytmdl Web - A webapp that lets you download music by getting the audio from YouTube and metadata from various sources like Itunes, Last.FM, Gaana and others. v2 released with lots of fixes.
After looking for a few options, I came across inaSpeechSegmenter. It is a speech segmenter and if you pass it an audio file, it returns the time segments of noises and music.
madmom
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Do you know any Onset Detection methods?
There are also online & offline onset detection approaches available as part of the Python madmom library https://github.com/CPJKU/madmom as binaries and Python classes. The methods included in madmom have shown state of the art results in multiple Music Information Retrieval Evaluation eXchange (MIREX) campaigns in recent years. Hope that's useful to you.
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BOXVR song importing. Can this be done outside of being in the game in VR?
In BoxVR's case, they literally use a machine learning model. It's cutting edge tech. Read more about it here: The paper, the code (and a sub-paper)
What are some alternatives?
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
ssqueezepy - Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
GuitarTuner - Guitar tuner program made with Python, Tkinter and PyAudio.
python-performance - Repository for the book Fast Python - published by Manning
ytmdl - A simple app to get songs from YouTube in mp3 format with artist name, album name etc from sources like iTunes, Spotify, LastFM, Deezer, Gaana etc.
ruptures - ruptures: change point detection in Python
ffsubsync - Automagically synchronize subtitles with video.
Sushi - Automatic subtitle shifter based on audio
subaligner - Automatically synchronize and translate subtitles, or create new ones by transcribing, using pre-trained DNNs, Forced Alignments and Transformers. https://subaligner.readthedocs.io/
pywt - PyWavelets - Wavelet Transforms in Python
sox-noise - Noise generator GUI powered by SoX
omnizart - Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.