Acoustic fingerprint

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말뭉치

  1. Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast, records, CDs, streaming media and peer-to-peer networks.[1]
  2. A robust acoustic fingerprint algorithm must take into account the perceptual characteristics of the audio.[1]
  3. If two files sound alike to the human ear, their acoustic fingerprints should match, even if their binary representations are quite different.[1]
  4. Acoustic fingerprints are not hash functions, which must be sensitive to any small changes in the data.[1]
  5. Below code snippet shows how to extract acoustic fingerprints from an audio file and later use them as identifiers to recognize unknown audio query.[2]
  6. If you plan to use an external persistent storage for audio fingerprints Emy is the preferred choice.[2]
  7. It is a specialized storage developed for audio fingerprints.[2]
  8. You provide a file at the input, and after a certain number of conversions, you get “audio fingerprints” at the output.[3]
  9. Around the year 2000, the first ideas were coined to create audio fingerprints.[4]
  10. Practically all audio fingerprints are based on features in a spectrogram.[4]
  11. This paper presents an implementation of Artificial Neural Networks (ANN) for acoustic fingerprints recognition, applied to the identification of marine vessels.[5]
  12. It seems that the last one is currently the right way, and technologies such as acoustic fingerprint may allow us to provide such monitoring and enforcement.[6]
  13. Various pieces of pipeline equipment (especially those with rotating parts such as pumps, valves or generators) produce strong acoustic fingerprints .[7]
  14. It also claims that Apple will bring back the Touch ID in a new avatar, that is, an acoustic fingerprint technology that could allow for full-screen Touch ID.[7]
  15. At the core of AcoustID is an efficient algorithm for extracting audio fingerprints, called Chromaprint.[8]
  16. The algorithm is optimized specifically for matching near-identical audio streams, which allows the audio fingerprints to be very compact and the extraction process to be fast.[8]
  17. AcoustID contains a large crowd-sourced database of such audio fingerprints together with additional information about them, such as the song title, artist or links to the MusicBrainz database.[8]
  18. You can send an audio fingerprint to the AcoustID service and it will search the database and return you information about the song.[8]
  19. 3rd-generation algorithm using Acoustic Fingerprint Technology (AFT) to mark the outgoing signal.[9]
  20. Siemens FeedbackStopper is an adaptive phase cancellation system combined with Acoustic Fingerprint Technology and transient frequency shift.[9]
  21. To distinguish between feedback situations and non-feedback situations, FeedbackStopper employs the Siemens patented Acoustic Fingerprint Technology (AFT).[9]
  22. Once the acoustic fingerprint is detected (eg, feedback is likely to occur) in a particular acoustic situation, FeedbackStopper briefly shifts the entire output of the amplifier by 25 Hz.[9]
  23. With Wikipedia Zero becoming a piracy host (T129845) we should consider implementing an acoustic fingerprint matching system (AcoustID, Echoprint, Gracenote MusicID, Shazam) to quickly alert admins.[10]
  24. Different techniques have been applied to create audio fingerprints; however, with the introduction of deep learning, new data-driven unsupervised approaches are available.[11]
  25. The generating and storing of time-indexed audio fingerprints are redundant if an assumption may be made as to the portion of the audio piece that will be available for fingerprinting.[12]
  26. The fingerprint analysis engine 20 analyzes an audio fingerprint generated by the fingerprint extraction engine 18 for a match against registered fingerprints in a fingerprint database 26.[12]
  27. 2 is a flow diagram of a process for generating an audio fingerprint according to one embodiment of the invention.[12]
  28. Unlike many audio fingerprints generated by prior art systems, the audio fingerprint generated via the SVD operation has no notion of time associated with it.[12]

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Spacy 패턴 목록

  • [{'LOWER': 'acoustic'}, {'LEMMA': 'fingerprint'}]