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GitHub - RussellSB/audio-identification: Music …
https://github.com/RussellSB/audio-identification
audio-identification. A musical audio retrieval system with fingerprints, following the algorithm presented by Wang 2003. This is the approach that Shazam took at the time, but has improved on since then. Source. Note that the files storing the main source code of this program are: fingerprint.py - Indexes database audio files as audio ...
Open source audio identification services | AcoustID
Automatic music file tagging AcoustID can be used for adding an automatic tagging feature to music players or music library organization applications. It can identify unknown audio files by searching in a large public database of audio fingerprints.
C7S1_AudioIdentification - audiolabs-erlangen.de
https://www.audiolabs-erlangen.de/resources/MIR/FMP/C7/C7S1_AudioIdentification.html
Following Section 7.1 of [Müller, FMP, Springer 2015], we discuss in this notebook the task of audio identification.In particular, we present the main ideas of a popular fingerprinting system based on spectral peaks, which was original introduced by Wang (and used in commercial systems such as Shazam).
Identifying speakers and labeling their speech in audio ...
https://docs.aws.amazon.com/transcribe/latest/dg/conversation-diarization-batch-med.html
Enable Audio identification. For Audio identification type, choose Speaker identification. For Maximum number of speakers, enter the maximum number of speakers that you think are speaking in your audio file. For best results, match the number of speakers that you ask to identify to the number of speakers in the input audio.
mufin GmbH - audio identification & music …
Real-time identification of any audio content, e.g. recognition of TV or radio channel, TV series or shows, TV advertisement, movies etc. Synchronization between broadcasted, recorded or on-demand content and interactive applications on companion devices, e.g. second screen or multi-screens such as tablets, smartphones and laptops
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