Estimating the quality of phonetic transcriptions and segmentations of speech signals

Wesenick, Maria-Barbara; Kipp, Andreas

doi:10.21437/icslp.1996-33

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“…In the experiment Wesenick et al [2] compared manual and automatic phoneme segmentation performances. Results showed that in general errors are done by experts and algorithm for certain phonemes transitions: nasal to nasal and vowel to lateral.…”

Section: Introductionmentioning

confidence: 99%

Segmentation Analysis using Synthetic Speech Signals

Greibus

Telksnys

2012

ElAEE

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There is a need of certain number of speech examples to solve real life tasks. A natural speech corpora may suffer from limited phoneme, word or phrase combinations. On the other hand an experimenter can create huge speech corpora using synthetic speech that reflect investigative speech cases that it is similar enough to natural speech. The usage of synthetic and natural speech corpora for speech segmentation algorithm comparison is presented in this paper. The adequateness of synthetic and natural corpora criteria for speech segmentation was proved. The experiments results showed that synthetic signals can be used for speech algorithm research.

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Section: Introductionmentioning

confidence: 99%