Packets Reconstruction Proposals applied to Waveform Coding Techniques for VoIP Solution

This paper proposes new waveform reconstruction techniques derived from wavelet transform and multilayer perception neural networks to reconstruct the speech segments that were lost in a transmission through best effort networks, such as Internet based on IP protocol. Also, a voiced-unvoiced-silence (V-US) recognition technique based on multilayer perception neural networks is presented. The use of this recognition technique enhances the performance of the proposed reconstruction since proper configurations of them are applied to each type of speech segments. The reported results reveal that the proposed reconstruction techniques outperform the previous one when the G.722.1 standard from ITU-T is considered as a speech coding technique of a VoIP solution.