| Paper: | SLP-P21.5 | ||
| Session: | Speech Detection, Enhancement and Analysis | ||
| Time: | Friday, May 19, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Speech Analysis | ||
| Title: | Dynamic Programming based Optimum Non-uniform Samples for Speech Reconstruction and Coding | ||
| Authors: | Prasanta Ghosh, T. V. Sreenivas, Indian Institute of Science, India | ||
| Abstract: | Non-uniform sampling of a signal is formulated as an optimization problem which minimizes the reconstruction signal error. Dynamic programming (DP) has been used to solve this problem efficiently for a finite duration signal. Further, the optimum samples are quantized to realize a speech coder. The quantizer and the DP based optimum search for non-uniform samples (DP-NUS) can be combined in a closed-loop manner, which provides distinct advantage over the open-loop formulation. The DP-NUS formulation provides a useful control over the trade-off between bitrate and performance (reconstruction error). It is shown that 5-10 dB SNR improvement is possible using DP-NUS approach. In addition, the close-loop DP-NUS gives a 4-5 dB improvement in reconstruction error. | ||
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