Text-to-speech man-machine interface in embedded systems

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Formant TTS Synthesis• The formant synthesized speech• Scores high on intelligibility• Scores low on naturalness• Building the model remains a burdensome task
Concatenative TTS synthesis• Concatenative synthesis doesn’t seek to model speechproduction, at all• It uses a data base of prerecorded segments of natural speech,that it concatenates one after the other• This approach gives the synthetic speech a very natural soundm a k e d o n s k i
Page 2 and 3: Speech outline• Introduction• S
Page 4 and 5: Introduction• The ideal man-machi
Page 6: Human speech• The phonatory organ
Page 9 and 10: Speech synthesis• The easiest way
Page 11 and 12: Articulatory TTS Synthesis• Artic
Page 13 and 14: Articulatory TTS Synthesis“Der Zu
Page 15 and 16: Formant TTS Synthesis• Formant sy
Page 17: Formant TTS Synthesis• The voice
Page 21 and 22: Concatenative TTS synthesis• Vari
Page 23 and 24: Concatenative TTS synthesis• Arch
Page 25 and 26: Concatenative TTS synthesis• The
Page 27 and 28: TTS for embedded systems• Dedicat
Page 29 and 30: TTS for embedded systems - ICs• M
Page 31 and 32: TTS for embedded systems - Modules
Page 33 and 34: TTS for embedded systems - mOS• A
Page 35 and 36: TTS for embedded systems - mOS• M
Page 37 and 38: TTS for embedded systems - app• F
Page 39 and 40: Macedonian TTS• Maybe some day ro

Text-to-speech man-machine interface in embedded systems

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