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 Audio Segmentation 

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This is a simple method for silence removal and segmentation of audio streams that contain speech. The method is based in two simple audio features (signal energy and spectral centroid). As long as the feature sequences are extracted, as thresholding approach is applied on those sequence, in order to detect the speech segments.



MIRtoolbox is a Matlab toolbox dedicated to the extraction of musical features from audio files, including routines for statistical analysis, segmentation and clustering. MIRtoolbox integrates a user-friendly syntax that enables to easily combine...



It can extract routines, perform segmentation, cluster audio segments and many more from any audio or sound file.

Each feature extraction method can accept as argument an audio file, or any preliminary result from intermediary stages of...



A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).



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.



Converts all audio formats from one to another with most possible settings or extract audio from video. Audio Converter Pro utility is indispensable for converting audio files from one format to another directly with ID3v2 Tag editing and new Mp3...



Universal Audio file converter with most possible audio file settings or extract audio sound from video. Audio Converter Pro utility is indispensable for converting audio files from one format to another directly with ID3v2 Tag editing and new Mp3...



With SD Advanced Audio Extractor 2.0.0.0 you can do the following: Extract the audio from the following video types: AVI, MPEG, MPG, WMV, ASF and write to the following audio types: WAV, MP3, OGG, WMA.and Change the quality and settings of the...



Simple 1KHz Audio Function Generator Using Standard Python In Linux - afg.py

This code is a stand alone program to generate a signal, at the earphone sockets, of 1KHz.
It is a basic audio signal generator and can be used as a...



An unofficial interface of Yahoo's Chinese segmentation.


Before use it, you MUST specify your APPID in the code. *


Yahoo's api documents: http://tw.developer.yahoo.com/cas/



This is a tool to extract audio data from MDF/MDS audio cd images to wav or raw files.

Tracks will be extracted to the current directory and named track_[num].wav or track_[num].raw. Output can also be redirected to stdout to allow the...



Audio::DB consists of a series of modules for creating relational databases of music files directly from data stored in ID3 tags or from flatfiles of information of track information. Once created, Audio::DB provides various methods for creating...



The WAV audio recording applet SDK is designed to create the web audio recorder on the web site. It allows to record the audio in WAV format from the web site and upload audio file to the web server via HTTP.

Also, it is possible to...



using this code user can actually feel the effect of filtering on audio signals and also see how filtering varies with changing the filter used



AudioEditor creates a GUI used for editing audio data. It supports reading from a WAVE audio file, writing to a WAVE audio file, importing from a MATLABdlT« variable, exporting to a MATLAB variable and recording from microphone. There are...



This Matlab script illustrate how to use two images as input for FCM segmentation



Audio Steganography use :
- SVD
- LSB
- bit xor



This function applies the Delaunay-based image segmentation, which is a fully automated process that does not require initial estimate of number of clusters.

The core idea is to apply Delaunay triangulation to the image histogram...



A demo for image segmentation using iterative watersheding plus ridge detection.



K-means image segmentation based on histogram to reduce memory usage which is constant for any image size.