A long-term harmonic plus noise model for speech signals
Faten Ben Ali, Laurent Girin, Sonia Djaziri Larbi · 2011
The harmonic plus noise model (HNM) is widely used for spectral modeling of mixed harmonic/noise speech sounds. In this paper, we present an analysis/synthesis system based on a long-term two-band HNM. “Long-term ” means that the time-trajectories of the HNM parameters are modeled using “smooth ” (discrete cosine) functions depending on a small set of parameters. The goal is to capture and exploit the longterm correlation of spectral components on time segments of up to several hundreds of ms. The proposed long-term HNM enables joint compact representation of signals (thus a potential for low bit-rate coding) and easy signal transformation (e.g. time stretching) directly from the long-term parameters. Experiments show that it can be compared favourably with the shortterm version in terms of parameter rates and signal quality. Index Terms: speech analysis/synthesis, harmonic + noise model, long-term processing.