Recognition Evernote


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WIDI Recognition System Standard

Transcribe any recorded music to MIDI! WIDI Recognition System is capable of recognizing polyphonic stereo Audio files (MP3, Wave, CD) to MIDI in seconds. A wide range of presets for different music, including drum tracks, are available. WIDI can be used ...

WIDI Recognition System Professional

Convert any recorded music into MIDI! WIDI Recognition System is capable of converting polyphonic stereo Audio files (MP3, Wave, CD) to MIDI in several seconds. A wide range of presets for different kinds of music are available. WIDI Recognition System ...





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Neural Pattern Recognition  v.6.0

Neural Pattern Recognition is implemented using Kohonen neural network and can recognize common stock patterns such as Head & Shoulders, Double Tops, Double Bottoms, Rounding Top, Rounding Bottom, Up Trend, Down Trend, Range, Triangle.
You could simply ...

Drive Letter Recognition Software  v.1 23

Once the Drive Letter Recognition Software is installed, the removable Disk icons and their description change.

For example, if the computer has an A:, C:, and D: drive before connecting the reader/writer, the drive letters will be assigned ...

Image Recognition Web Test Plugin  v.4 30

The Image Recognition Plugin is a powerful add-on that uses machine vision technology for web testing sites that contain non-HTML elements. The Plugin supports Flash applets, Java applets, Movie Player Applets, ActiveX, and all other controls.

The ...

WIDI Recognition System  v.4.03

WIDI Recognition System is a polyphonic Audio to MIDI transcriber. The software recognizes CD tracks, MP3 and Wave files and automatically produces polyphonic MIDI files in several seconds. In addition, WIDI Recognition System is capable of converting ...

Speak-to-Mail Speech Recognition  v.1.00.23

Write and send e-mails using voice recognition with Speak-to-Mail. Just open the software and it reads the contact list from your e-mail software and displays an Email template. You can choose recipients, dictate your Email and send it through your default ...

Luxand Blink! Face Recognition  v.2.4

The innovative face recognition technology developed by Luxand recognizes users' faces quickly and reliably, and is able to match the user with an associated account even with different haircuts, beards or mustaches grown or shaved off while completely ...

BANNER Named Entity Recognition System  v.2

BANNER is a named entity recognition system intended primarily for biomedical text. It uses conditional random fields as the primary recognition engine and includes a wide survey of the best techniques described in recent literature.

IGesture - Gesture Recognition Framework  v.1.0

iGesture is a Java-based gesture recognition framework providing access to multiple gesture recognition algorithms and different input devices. The iGesture Workbench supports the definition and evaluation of customised gesture sets and algorithms.

Leaves Recognition  v.1.0

A neuronal network based image recognition application that aims on the automatic recognition of tree species according to available images of the leaves of each species. With help of this application botanists can then identify different species....

M68331 Voice Recognition System  v.1.0

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

Modular Audio Recognition Framework  v.1.0

MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.

Slurred speech recognition system  v.1.0

This project is being developed to be a Java based speech recognition (SR) program. In addition to the SR program itself, it includes a program which allows a user to view the sound being received by the computer. The user can manipulate this data.

Audio Event Recognition  v.1.0

Audio Events Detection (AED) is a relatively new research area with ambitious goals. Its goal is to detect the sound the you are interest, Such as laugh, cry, gunshot, appluase, scream, and so on. Detect different sounds with this tool.

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