Phoneme detection as a tool for comparing perception of natural and synthetic speech
نویسندگان
چکیده
منابع مشابه
Time-compressing natural and synthetic speech
Phoneme detection is a useful tool to compare the perception of perfectly intelligible speech types. As previous research suggests that perception of fast speech is helped by segmental redundancy, we expected the hyperarticulation of synthetic speech to turn into an advantage at a fast rate. Consequently, the processing advantage of natural over synthetic speech was expected to decrease after t...
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Phoneme recognition is one of the fundamental phases of automatic speech recognition. Coarticulation which refers to the integration of sounds, is one of the important obstacles in phoneme recognition. In other words, each phone is influenced and changed by the characteristics of its neighbor phones, and coarticulation is responsible for most of these changes. The idea of modeling the effects o...
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At least in English, the perception of syllables and words can be largely predicted from the perception of smaller (e.g., segmentor phoneme-sized) symbolic units. Experiments involving the intelligibility of natural speech in noise provide one important source of evidence for the factorability of syllables into segments. Results reviewed by Allen (1994 a, b) show that the correct identification...
متن کاملPhoneme Classification Using Temporal Tracking of Speech Clusters in Spectro-temporal Domain
This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...
متن کاملCenter for Language and Communication , University of Amsterdam , the Netherlands
Since scientists succeeded in creating intelligible synthetic speech in the first half of the last century (see [9] for a review), countless studies have used artificial speech sounds to test hypotheses about natural speech perception (e.g. [1, 5, 7, 8]). A great advantage of using formant synthesis for categorization tasks (rather than unit-based or statistical-parametric synthesis) is that pa...
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عنوان ژورنال:
- Computer Speech & Language
دوره 7 شماره
صفحات -
تاریخ انتشار 1993