Lithuanian Speech Synthesis by Computer using Additive Synthesis

Abstract

We present a new Lithuanian speech phoneme synthesis method based on the principle of additive synthesis in this paper. An assumption is made that phoneme models consist of the sum of harmonics which could be generated by properly chosen formant synthesizer parameters. In order to estimate the synthesizer parameters, we use the real sound signals that are expanded into harmonics by the inverse fast Fourier transform method. The harmonic synthesizer parameters (amplitudes, damping factor, and phases) are estimated by Levenberg-Marquardt method. We present an example of the synthesized female vowel /a/ and compare it with the true sound signal.

Upgrading FPGA Implementation of Isolated Word Recognition System for a Real-Time Operation

“…where C -cepstrum coefficients vector; X -discretized speech signal vector; FFT -fast Fourier transform; 4. Comparison of two feature sequences is implemented through dynamic time warping algorithm (DTW) [2], [17], [18]. DTW compares words with duration up to 1.5 s;…”

“…Despite of recent software-based Lithuanian speech recognition [1] and synthesis [2] implementations on personal computers and servers there is an unaddressed need of embedded systems for mobile and stand-alone devices, interactive voice controlled systems, disabled person equipment, etc. Embedded systems bring in their specific requirements for speech recognizers: the limited speed of processing and of memory, the low power consumption.…”