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CurvFit (tm) is a curve fitting program for Windows. Lorentzian, Sine, Exponential and Power series are available models to match your data. A Lorentzian series is highly recommended for real data especially for multiple peaked and/or valleys data.
CurvFit is another improved productivity example do to using Calculus (level) programming ... ie. minutes to solve, days or years to understand solution and what it implies (e.g. wrong model, sampling rate error, etc.). Helps learn 1) whether math model is good for given data; 2) convergence implies a reasonable solution; 3) how to select new starting initial parameter values. See comments in EX*.? files for ideas on how to converge via solvers.
Interpolation, extrapolation, & Hardcopy Plot options are now available.
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Symbian series 60
Nokia 9210
synthesis text to speech
Exponential Series
nokia snake
text-to-speech engine
ARIMA Time Series Software
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CurvFit: http://www.digitalCalculus.com/download/curvfit-install.exe
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Embedded Windows CE SAPI 5.0 Developers Kit is your complete Embedded Speech Recognition or Speech To
Text Circuit Solution for Development of Speech Recognition System at Electronics level. The design is based on
ISIP ASR and is Ported to Windows CE/Pocket PC/Smart Phone/ Symbian OS for Nokia Series 80 and above.
With a memory overhead of 3 MB - for one sentence dictation, the engine very well fits the needs of developers
looking for porting highly advanced research of ISIP ASR to the embedded world. See Windows CE Emulator
Evaluation Installation for a live Experience.
Embedded Speech Recognition Kit: http://www.research-lab.com/downloads/wincespeech01.zip
Embedded Speech Synthesis Kit: http://www.bandwidthsaver.com/downloads/wincetts01.zip
Embedded Windows CE SAPI 5.0 TTS Developers Kit is your complete Embedded Speech Synthesis or Text To
Speech Circuit Solution for Development of Speech Synthesis System at Electronics level. The design is based on
Festival TTS and is Ported to Windows CE/Pocket PC/Smart Phone/ Symbian OS for Nokia Series 80 and above.
With a memory overhead of 1 MB - for one sentence narration, the engine very well fits the needs of developers
looking for porting highly advanced research of Festival TTS to the embedded world. |
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