Articulatory feature detection

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چکیده

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Score fusion for articulatory feature detection

Articulatory Features (AFs) describe the way in which the speech organs are used when producing speech sounds. Research has shown that incorporating this information into speech recognizers can lead to an increase in system performance. This paper considers English AF detection using Gaussian Mixture Models (GMMs) and Multi-Layer Perceptrons (MLPs). The scores from the GMMand MLP-based detector...

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Articulatory feature asynchrony analysis and compensation in detection-based ASR

This paper investigates the effects of two types of imperfection, namely detection errors and articulatory feature asynchrony, of the front-end articulatory feature detector on the performance of a detection-based ASR system. Based on a set of variable-controlled experiments, we find that articulatory feature asynchrony is the major issue that should be addressed in detection-based ASR. To this...

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Spoken language, especially conversational speech, is characterized by great variability in word pronunciation, including many variants that differ grossly from dictionary prototypes. This is one factor in the poor performance of automatic speech recognizers on conversational speech, and it has been very difficult to mitigate in traditional phonebased approaches to speech recognition. An altern...

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Articulatory-feature-based confidence measures

Confidence measures are computed to estimate the certainty that target acoustic units are spoken in specific speech segments. They are applied in tasks such as keyword verification or utterance verification. Because many of the confidence measures use the same set of models and features as in recognition, the resulting scores may not provide an independent measure of reliability. In this paper,...

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Can unquantised articulatory feature continuums be modelled?

Articulatory feature (AF) modelling of speech has received a considerable amount of attention in automatic speech recognition research. Although termed ‘articulatory’, previous definitions make certain assumptions that are invalid, for instance, that articulators ‘hop’ from one fixed position to the next. In this paper, we studied two methods, based on support vector classification (SVC) and re...

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ژورنال

عنوان ژورنال: The Journal of the Acoustical Society of America

سال: 1977

ISSN: 0001-4966

DOI: 10.1121/1.2015735