A long-term harmonic plus noise model for speech signals

Faten Ben Ali (1, 2) , Laurent Girin (2) , Sonia Djaziri-Larbi (3)

1 Unité Signaux et Systèmes
2 GIPSA-MAGIC - GIPSA - Machines parlantes, Gestes oro-faciaux, Interaction Face-à-face, Communication augmentée
3 U2S - Unité Signaux et Systèmes

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 long- term 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 poten- tial for low bit-rate coding) and easy signal transformation (e.g. time stretching) directly from the long-term parameters. Exper- iments show that it can be compared favourably with the short- term version in terms of parameter rates and signal quality. Index Terms: speech analysis/synthesis, harmonic + noise model, long-term processing.

Mots clés: long-term processing; noise model; harmonic; speech analysis/synthesis

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Faten Ben Ali, Laurent Girin, Sonia Djaziri-Larbi. A long-term harmonic plus noise model for speech signals. Interspeech 2011 - 12th Annual Conference of the International Speech Communication Association, Aug 2011, Florence, Italy. pp.53-56. ⟨hal-00695752⟩