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  2. OpenSMILE - Wikipedia

    en.wikipedia.org/wiki/OpenSMILE

    The openSMILE project exists since 2008 and is maintained by the German company audEERING GmbH since 2013. openSMILE is provided free of charge for research purposes and personal use under a source-available license. For commercial use of the tool, the company audEERING offers custom license options.

  3. Mel-frequency cepstrum - Wikipedia

    en.wikipedia.org/wiki/Mel-frequency_cepstrum

    In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.

  4. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    getML community is an open source tool for automated feature engineering on time series and relational data. [23] [24] It is implemented in C/C++ with a Python interface. [24] It has been shown to be at least 60 times faster than tsflex, tsfresh, tsfel, featuretools or kats. [24] tsfresh is a Python library for feature extraction on time series ...

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    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  6. Template:Extract - Wikipedia

    en.wikipedia.org/wiki/Template:Extract

    This template is used on approximately 8,800 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.

  7. Harmonic pitch class profiles - Wikipedia

    en.wikipedia.org/wiki/Harmonic_pitch_class_profiles

    After getting the HPCP feature, the pitch of the signal in a time section is known. The HPCP feature has been used to compute similarity between two songs in many research papers. A system of measuring similarity between two songs is shown in Fig.3. First, time-frequency analysis is needed to extract the HPCP feature. And then set two songs ...

  8. Deep learning speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_speech_synthesis

    The acoustic feature is typically a spectrogram or Mel scale. These features capture the time-frequency relation of the speech signal, and thus are sufficient to generate intelligent outputs. The Mel-frequency cepstrum feature used in the speech recognition task is not suitable for speech synthesis, as it reduces too much information.

  9. Template Toolkit - Wikipedia

    en.wikipedia.org/wiki/Template_Toolkit

    The Template Toolkit (TT) is a template engine used primarily for building web sites, but is also suitable for creating any type of digital document, such as a PDF or LaTeX file. Template Toolkit is based on a mini-language and does not allow direct Perl in its templates by default, unlike some competing products (e.g. Mason).

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