Extraction and Representation of Prosody for Speaker, Speech and Language Recognition
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منابع مشابه
Extraction and representation of prosodic features for language and speaker recognition
In this paper, we propose a new approach for extracting and representing prosodic features directly from the speech signal. We hypothesize that prosody is linked to linguistic units such as syllables, and it is manifested in terms of changes in measurable parameters such as fundamental frequency (F 0), duration and energy. In this work, syllable-like unit is chosen as the basic unit for represe...
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Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...
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Current state-of-the-art text-to-speech systems produce intelligible speech but lack the prosody of natural utterances. Building better models of prosody involves development of prosodically rich speech databases. However, development of such speech databases requires a large amount of effort and time. An alternative is to exploit story style monologues (long speech files) in audio books. These...
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A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملA comparative study of HMM-based approaches for the automatic recognition of perceptually relevant aspects of spontaneous German speech melody
Three approaches to the speaker independent automatic recognition of melodic aspects of spontaneous German are presented. All systems are based on Hidden Markov Models. Their input is restricted to the speech signal from which a feature extraction component derives eleven prosodic features. No additional information { as commonly used for prosody recognition { like word chains, word hypotheses,...
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تاریخ انتشار 2012