Segmentation Analysis using Synthetic Speech Signals

Abstract

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.

Tree-based Phone Duration Modelling of the Serbian Language

“…In natural speech the duration of speech segments depends on the context of speech, where that dependence is very complex and involves many factors [1]. The study of speech timing and impact of different phonological, syntactic, physiological and other factors on the duration of speech segments is very important for both understanding the process of speech production and the development of speech synthesis in order to produce high quality synthetic speech [2], [3]. Therefore, a very important component of a text-tospeech (TTS) system is a specialized module (duration system) whose task is modelling segmental duration in natural speech, taking into account various factors.…”