A novel method to represent the speech signals by using language and speaker independent predefined functions sets

In this paper, a new modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called predefined signature S = {s_R(t)} and envelope function E = {e_K (t)} sets (PSEFS). The function sets are independent of any speaker and any language. Once the speech signals are divided into frames with selected lengths, then each frame signal piece X_i(t) is synthesized by means of the mathematical form of x_i(t) = C_ie_K(t)s_R(t). In this representation, C_i is called the frame coefficient, s_R(t) and e_K(t) are properly assigned from PSEFS respectively. It is shown that the proposed method provides fast reconstruction and substantial compression with acceptable hearing quality.