Integrating Articulatory Features Into HMM-Based Parametric Speech Synthesis
نویسندگان
چکیده
منابع مشابه
Integrating multilingual articulatory features into speech recognition
The use of articulatory features, such as place and manner of articulation, has been shown to reduce the word error rate of speech recognition systems under different conditions and in different settings. For example recognition systems based on features are more robust to noise and reverberation. In earlier work we showed that articulatory features can compensate for inter language variability...
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In conventional concept-to-speech (CTS) methods, a common step is predicting abstract prosodic descriptions, such as the locations of accents and phrase boundaries, from the linguistic information provided by the text generation module. But the prediction results always contain errors, and unacceptable prosodic prediction may ruin the synthesized speech. In addition, linguistic information, whi...
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It is often assumed that acoustic-phonetic or articulatory features can be beneficial for automatic speech recognition (ASR), e.g. because of their supposedly greater noise robustness or because they provide a more convenient interface to higher-level components of ASR systems such as pronunciation modeling. However, the success of these features when used as an alternative to standard acoustic...
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This paper presents a method to control the characteristics of synthetic speech flexibly by integrating articulatory features into a Hidden Markov Model (HMM)-based parametric speech synthesis system. In contrast to model adaptation and interpolation approaches for speaking style control, this method is driven by phonetic knowledge, and target speech samples are not required. The joint distribu...
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Hidden Markov model (HMM)-based parametric speech synthesis has become a mainstream speech synthesis method in recent years. This method is able to synthesise highly intelligible and smooth speech sounds. In addition, it makes speech synthesis far more flexible compared to the conventional unit selection and waveform concatenation approach. Several adaptation and interpolation methods have been...
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ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2009
ISSN: 1558-7916
DOI: 10.1109/tasl.2009.2014796