  The paper presents the capability of an HMM-based TTS system to produce
Bengali speech. In this synthesis method, trajectories of speech parameters are
generated from the trained Hidden Markov Models. A final speech waveform is
synthesized from those speech parameters. In our experiments, spectral
properties were represented by Mel Cepstrum Coefficients. Both the training and
synthesis issues are investigated in this paper using annotated Bengali speech
database. Experimental evaluation depicts that the developed text-to-speech
system is capable of producing adequately natural speech in terms of
intelligibility and intonation for Bengali.
