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Autres articles (109)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...) -
De l’upload à la vidéo finale [version standalone]
31 janvier 2010, parLe chemin d’un document audio ou vidéo dans SPIPMotion est divisé en trois étapes distinctes.
Upload et récupération d’informations de la vidéo source
Dans un premier temps, il est nécessaire de créer un article SPIP et de lui joindre le document vidéo "source".
Au moment où ce document est joint à l’article, deux actions supplémentaires au comportement normal sont exécutées : La récupération des informations techniques des flux audio et video du fichier ; La génération d’une vignette : extraction d’une (...)
Sur d’autres sites (12621)
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avcodec : add decoder for argonaut games' adpcm codec
26 janvier 2020, par Zane van Iperenavcodec : add decoder for argonaut games' adpcm codec
Adds support for the ADPCM variant used by some Argonaut Games' games,
such as 'Croc ! Legend of the Gobbos', and 'Croc 2'.Signed-off-by : Zane van Iperen <zane@zanevaniperen.com>
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How to create a spectrogram image from an audio file in Python just like how FFMPEG does ?
2 mai 2020, par hamandishe MkMy code :



import matplotlib.pyplot as plt
from matplotlib.pyplot import specgram
import librosa
import librosa.display
import numpy as np
import io
from PIL import Image

samples, sample_rate = librosa.load('thabo.wav')
fig = plt.figure(figsize=[4, 4])
ax = fig.add_subplot(111)
ax.axes.get_xaxis().set_visible(False)
ax.axes.get_yaxis().set_visible(False)
ax.set_frame_on(False)
S = librosa.feature.melspectrogram(y=samples, sr=sample_rate)
librosa.display.specshow(librosa.power_to_db(S, ref=np.max))
buf = io.BytesIO()
plt.savefig(buf, bbox_inches='tight',pad_inches=0)

# plt.close('all')
buf.seek(0)
im = Image.open(buf)
# im = Image.open(buf).convert('L')
im.show()
buf.close()



Spectrogram produced






Using FFMPEG



ffmpeg -i thabo.wav -lavfi showspectrumpic=s=224x224:mode=separate:legend=disabled spectrogram.png



Spectrogram produced






Please help, i want a spectrogram that is exactly the same as the one produced by FFMPEG, for use with a speech recognition model exported from google's teachable machine.
Offline recognition


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Cannot Register my dll using regsrv32 but only with Release build, Debug build works ok
4 février 2020, par kiritI am having same problem as this question.
I have my own Dlls that uses ffmpeg (Ver 0.6.3) dlls (AVCODEC-52.dll, AVFormat-52.dll,.. all build under MinGW using mingw-get-inst-20110530) ..
I have the dlls and libs in my VC2008 project and it all builds ok in both debug and release mode and also runs ok... but if i try to register using regsvr32 it errors out for release Only (Debug works ok).
Checking my dll using dependence walker tool shows that this dlls are of readish color and shows CoCreateInstance, CoInitialize ...(i think this are part of old32.dll) are missing..Based on the above link looks like some kind of build issue with ffmpeg under minGW.. but details of the solutions is missing.. any help or suggestion are well come.
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