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This paper presents an analysis-by-synthesis approach for acoustic model adaptation. Using artificial speech data for speech recognition systems adaptation, has the potential to address the problem of data sparseness, to avoid speech recordings in real conditions and to provide the capability of performing large number of development cycles for Automatic Speech Recognition (ASR) systems in shorter...
In this paper we describe the compression of diphone inventories used by the acoustic synthesis of a concatenative synthesis system. The inventory compression is based on a codebook drawn from the Gaussian mean vectors of phoneme HMMs. There are two encoding/synthesis schemes, a speaker dependent and a speaker independent one. The advantage of the latter is the potential common use of the HM-models...
Speech synthesis systems based on concatenation of segments derived from natural speech are very intelligible and achieve a high overall quality. Even though listeners often complain about wrong or missing temporal structure and timing in synthetic speech. We propose a new approach for duration control in speech synthesis that uses the probability of a word in its context to control the local speaking...
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