Paralinguistic Phonetics in NLP Models & Methods
نویسنده
چکیده
Natural language processing (NLP) is gradually becoming a more multidisciplinary field, and research in remotely connected aspects of language such as paralinguistic phonetics may benefit from as well as contribute to some areas of NLP. This paper provides a brief overview of paralinguistic phonetics, and some current NLPrelated methods and models used in TTS and ASR systems today. In order to produce more natural sounding synthetic speech, the NLP model of a TTS system should be able to process both prosodic and paralinguistic information. Some NLP related models and methods developed for prosody that may be used for paralinguistic features are mentioned. Finally some reflections on how prosodic and paralinguistic information inferred by NLP methods may be used in other fields of NLP are made.
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