SpeechToText this will help you to speech synthese - source code download

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SpeechToText

Classification:Windows/.NET - Other WINDOWS program Development Tool:Visual C++ Sise:299 KB Upload time:2014/5/19 10:48:55 Uploader:pawelc Download Statistics:

Description

this will help you to speech synthese

speech.ico

File list:
SpeechToText
...........\SpeechToText
...........\............\bin
...........\............\...\Debug
...........\............\...\.....\example.txt
...........\............\...\.....\SpeechToText.exe
...........\............\...\.....\SpeechToText.pdb
...........\............\...\.....\SpeechToText.vshost.exe
...........\............\...\.....\SpeechToText.vshost.exe.manifest
...........\............\...\Release
...........\............\Images
...........\............\......\speech.ico

...........\............\obj
...........\............\...\x86
...........\............\...\...\Debug
...........\............\...\...\.....\TempPE
...........\............\...\...\.....\App.g.cs
...........\............\...\...\.....\App.g.i.cs
...........\............\...\...\.....\DesignTimeResolveAssemblyReferencesInput.cache
...........\............\...\...\.....\MainWindow.baml
...........\............\...\...\.....\MainWindow.g.cs
...........\............\...\...\.....\MainWindow.g.i.cs
...........\............\...\...\.....\SpeechToText.csproj.FileListAbsolute.txt
...........\............\...\...\.....\SpeechToText.csprojResolveAssemblyReference.cache
...........\............\...\...\.....\SpeechToText.exe
...........\............\...\...\.....\SpeechToText.g.resources
...........\............\...\...\.....\SpeechToText.pdb
...........\............\...\...\.....\SpeechToText_MarkupCompile.cache
...........\............\...\...\.....\SpeechToText_MarkupCompile.i.cache
...........\............\Properties
...........\............\..........\AssemblyInfo.cs
...........\............\App.xaml
...........\............\App.xaml.cs
...........\............\example.txt
...........\............\MainWindow.xaml
...........\............\MainWindow.xaml.cs
...........\............\SpeechToText.csproj
...........\............\Word.cs
...........\SpeechToText.sln
...........\SpeechToText.v12.suo

Related source code

[Speech Enhancement] - this code is about speech enhancement
[SpeechSample] - You can use this file is speech programming tutorial in C++.
[speech-2_0_6-final-spec] - Este es un buen material de descarga de archivos
[emospeech] - speech emotion detection
[Wiener-Filtering-for-Speech-Enhancem...] - Normally speech signals are contaminated with noise and interference that reduces the intelligibility of speech during communication. In order to make speechsignals eective and useful, they need to be enhanced from the noisy speech signal.In speech processing eld many speech enhancement techniques are developed andare providing very good results.Multichannel microphone array is also one of the techniques used for speechenhancement, that provides better results than the single channel speech enhancement. Moreover, Wiener ltering is the most commonly used technique formultichannel microphone array for speech enhancement. The main focus of thisthesis is to implement multichannel microphone array using Wiener ltering inthe modulation domain system and also in the time domain system to enhancethe speech.
[Final-Speech-Project] - speech processing using matlab
[text2speech] - Tex to speech convsersion using matlab.
[speech-recognition] - this code is for speech recognition
[Assignment-Sharp-3-Speech-Processing...] - just to get my account activate in this forum
[Approximate-Bayesian-Inference-for-R...] - Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. Theseparameters must often be estimated from noisy observations since speech signals arerarely obtained in ‘clean’ acoustic environments in the real world. As a result, theparameter estimation algorithms we employ must be robust to environmental factorssuch as additive noise and reverberation. In this work we derive and evaluate approximate Bayesian algorithms for the following speech processing tasks: 1) speechenhancement 2) speaker identification 3) speaker verification and 4) voice activitydetection.

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