Segment vocoder based on reconstruction with natural segments

A segment vocoder based on a codebook of natural (non-warped) speech segments has been constructed. In contrast to other segment vocoders, in which segments of various lengths are generated by time-warping, the new vocoder uses only non-warped segments, whose lengths are determined during the segmen...

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Bibliographic Details
Main Authors: Jeanrenaud, P., Peterson, P.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Current measurement
Iterative methods
Product codes
Quantization
Speech coding
Training data
Vocoders
Online Access:Request full text
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Description
Summary:A segment vocoder based on a codebook of natural (non-warped) speech segments has been constructed. In contrast to other segment vocoders, in which segments of various lengths are generated by time-warping, the new vocoder uses only non-warped segments, whose lengths are determined during the segmentation process. The vocoder also incorporates an improved segment distance measure and compensates for input block-boundary effects. To generate codebook templates, the authors use an iterative improvement method to segment training speech. The vocoder achieves 85% DRT (diagnostic rhyme test) intelligibility with non-warped templates compared to 83% DRT with warped templates. A baseline segment vocoder that included none of the improvements was only able to achieve 77% DRT.< >
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1991.150412