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  2. OpenSMILE - Wikipedia

    en.wikipedia.org/wiki/OpenSMILE

    openSMILE [2] is source-available software for automatic extraction of features from audio signals and for classification of speech and music signals. "SMILE" stands for "Speech & Music Interpretation by Large-space Extraction".

  3. Mel-frequency cepstrum - Wikipedia

    en.wikipedia.org/wiki/Mel-frequency_cepstrum

    MFCCs are commonly used as features in speech recognition [7] systems, such as the systems which can automatically recognize numbers spoken into a telephone.. MFCCs are also increasingly finding uses in music information retrieval applications such as genre classification, audio similarity measures, etc. [8]

  4. Mel scale - Wikipedia

    en.wikipedia.org/wiki/Mel_scale

    The first version of Google's Lyra codec uses log mel spectrograms as the feature-extraction step. The transmitted data is a vector-quantized form of the spectrogram, which is then synthesized back to speech by a neural network.

  5. PDFtk - Wikipedia

    en.wikipedia.org/wiki/Pdftk

    PDFtk (short for PDF Toolkit) is a toolkit for manipulating Portable Document Format (PDF) documents. [ 3 ] [ 4 ] It runs on Linux , Windows and macOS . [ 5 ] It comes in three versions: PDFtk Server ( open-source command-line tool ), PDFtk Free ( freeware ) and PDFtk Pro ( proprietary paid ). [ 2 ]

  6. 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 ...

  7. NYT ‘Connections’ Hints and Answers Today, Tuesday, January 14

    www.aol.com/nyt-connections-hints-answers-today...

    Today's NYT Connections puzzle for Tuesday, January 14, 2025The New York Times

  8. 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 ...

  9. Hough transform - Wikipedia

    en.wikipedia.org/wiki/Hough_transform

    The Hough transform is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing. [1] [2] The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.