Search Results for "feature extraction of charcters"
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Showing 20 open source projects for "feature extraction of charcters"
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Librosa
Python library for audio and music analysis
Librosa is a powerful Python library for analyzing and processing audio and music signals. Built on top of NumPy, SciPy, and matplotlib, it provides a wide range of tools for feature extraction, time-series manipulation, audio display, and music information retrieval. Whether you're building machine learning models for audio classification or visualizing spectrograms, Librosa is a go-to library for researchers and developers working in audio signal processing. -
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FFmpeg Batch AV Converter
Free all in one audio/video ffmpeg batch encoder
FFmpeg Batch AV Converter is a free universal audio and video encoder for Windows and Linux (via Wine), that allows to use the full potential of ffmpeg command line with a few mouse clicks in a convenient GUI with drag and drop, progress information. Some fancy wizards make things easy for non-experts. Thanks to its multi-file encoding feature, it may be the fastest a/v batch encoder available, since it maximizes system resources usage by launching as many simultaneous processes up to... -
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Honeyview
Fast and lightweight image viewer
Honeyview is a fast and lightweight image viewer that supports a wide range of image formats, including popular ones like JPG, PNG, and BMP, as well as less common formats such as PSD and RAW. Designed for users who need an efficient tool for viewing and organizing images, Honeyview provides a clean and intuitive interface with high-speed performance. It also supports viewing images within compressed archives, such as ZIP or RAR files, without the need for extraction. Additionally, Honeyview... -
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audioFlux
A library for audio and music analysis, feature extraction.
audioflux is a deep learning tool library for audio and music analysis, feature extraction. It supports dozens of time-frequency analysis transformation methods and hundreds of corresponding time-domain and frequency-domain feature combinations. It can be provided to deep learning networks for training, and is used to study various tasks in the audio field such as Classification, Separation, Music Information Retrieval(MIR) and ASR etc. -
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VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM
This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for feature extraction, classification, postprocessing). Acoustic feature extraction (multi-resolution cochleagram, MRCG). Provided real-world dataset with manual annotations. -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
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subs2srs
Convert movies and TV shows to flashcards
subs2srs allows you to create import files for Anki or other Spaced Repetition Systems (SRS) based on your favorite foreign language movies and TV shows to aid in the language learning process. See http://subs2srs.sourceforge.net/ for more information. -
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jAudio is a project implementing a number of common feature extraction algorithms for analyzing audio in java. Output is either in Weka's ARFF format or the ACE format. Can be used either as a GUI application, command-line application, or embedded. The primary repository is on github (dmcennis) which pushes to this projects github repository.
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. -
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ezSIFT
An easy-to-use standalone SIFT library written in C/C++
*************************************************************************** Updated 06/28/2018 The ezSift project has moved to https://github.com/robertwgh/ezSIFT *************************************************************************** The SIFT (scale-invariant feature transform) algorithm is considered to be one of the most robust local feature detector and description methods. Most of the open-source SIFT implementations rely on some 3rd-party libraries. Some of them even rely... -
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Real-time audio feature extraction and similarity matching in C++. PD and Max/MSP support via FLEXT.
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Sonic Visualiser is an application for inspecting and analysing the contents of music audio files. It combines powerful waveform and spectral visualisation tools with automated feature extraction plugins and annotation capabilities.
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CAMEL (Content-based Audio and Music Extraction Library) is an easy-to-use C++ framework developed for content-based audio and music analysis. The framework provides a set of tools for easy Segmentation, Feature Extraction, Domain Extraction, etc.
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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.
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Fourier is a portable image processing and analysis library written in ANSI C. It implements operations such as color space conversions, noise removal, enhancement, morphology, edge detection, thresholding, segmentation, and visual feature extraction
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Easy-to-use platform-independent plugin API for the extraction of low-level features from audio data in PCM format, as required in the context of music information retrieval software.
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BRISC (BRISC Really IS Cool) is 1) a library for Haralick, Gabor and Markov image feature extraction from pulmonary nodule DICOM images and 2) a simple content-based image retrieval (CBIR) system for pulmonary nodule databases (ie. LIDC).
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SOMba is a Qt based program that allows multiple dancers to create a collaborative sonic space, using audio clips organized by a Self-Organizing Map. It uses the Marsyas framework for audio feature extraction and playback.
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