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.Net VCL for Delphi 1.0.0.0
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ntelligenceLab is a set of .NET 2.0-4.5 components for Artificial Intelligence.

Also includes a visual graphical editor for codeless development.

Contains:

- Neural Network - Feed forward Neural Network classifier.
- Naive Bayes - Naive Bayes classifier.
- K Nearest Neighbor - K Nearest Neighbor classifier.
- Self Organizing Map - Self Organizing Map classifier.
- Radial Basis Function -...



IntelligenceLab VC++ is a set of Visual C++ components for Artificial Intelligence.
Includes: Neural networks, Naive Bayesian, Radial Basis Function Network, Self Organizing Map, K-Nearest Neighbor and more.
Usage: Speech recognition,...



Delphi/C++ Builder VCL and FireMonkey (FMX) components library for very fast Artificial Intelligence.

Some of the components now also include a GP GPU support.

Also includes Visual Graphical Editor for Codeless Development...



Simple implementation of [1] with small modification. Hopefully this is going to help beginners in speech/audio signal processing.

[1] X. Zhu, G. T. Beauregard and L. L. Wyse, "Real-Time Signal Estimation From Modified Short-Time...



Biometrics is an emerging field of technology using unique and measurable physical, biological, or behavioral characteristics that can be processed to identify a person. Biometric properties of human are fingerprint, iris, face and voice.
A...



These routines scramble an audio file by moving around short, overlapping windows within a local window. They can be used to create new versions of existing recordings that preserve the spectral content over longer time scales, but remove...



This soccer season, denoising the noise from the vuvuzela has become very popular, as many fans find the noise from this instrument distracting from the game. In this example, we analyze the vuvuzela spectrum and identify its fundamental and first...



stable release of bot_vozMe.
mambot/plugin to convert text to speech using vozme free text to speech engine Features:- Configuration around layout of vozMe icon Float or Align Justify lift middle right, top & bottom Several options for...



The two-step noise reduction (TSNR) technique removes the annoying reverberation effect while maintaining the benefits of the decision-directed approach. However, classic short-time noise reduction techniques, including TSNR, introduce harmonic...



Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the...



In FORMANT_TRACKER.M the input speech waveform is broken up into number of overlapping frames. LPC analysis for each frame, frequencies for each frame are plotted are also given as output in a matrix.



The following zip file contains two routines for analysis/synthesis of HNM.
HNM is a analysis/synthesis model of speech,like classical LPC model.
Due to the limitation of my ability,i only implement a simply version of HNM,so welcome for...



Removing back ground noise added to speech is a fundamental problem in mobile devices such as cell phones. There are several well studied methods to suppress noise.

In this Simulink model, I model and simulate noise suppression using...



espeak-php is a PHP extension that uses espeak functions for speech synthesizing in many languages, such as English, Spanish, Portuguese and others.



run test1.m It record sound from microphone then apply 10 kHz lowpass filer, then find optimums. In compressed data there are optimums shifts and optimums value. The method is works if signal has 90 - 10000 Hz frequency range. about 4 times...



The demonstration of n-PSK modulation and demodulation with my own speech, with different value of n and sampling frequency and carrier, n = 2, 4, 8, 16 ,32...



Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks,...



This function localizes a single source from a frame of data received at the microphones. It uses the Steered Response Power with the PHAse Transform (SRP-PHAT) as the functional. The true source location will have the maximum SRP-PHAT value....



Let us assume the following MIMO model:
Y(k)=HX(k)+Y(k)
This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be...



Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band.