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Found 4 papers, 0 papers with code
Incremental Disfluency Detection for Spoken Learner English
Incremental disfluency detection provides a framework for computing communicative meaning from hesitations, repetitions and false starts commonly found in speech.
Adapting the NICT-JLE Corpus for Disfluency Detection Models
The detection of disfluencies such as hesitations, repetitions and false starts commonly found in speech is a widely studied area of research.
Towards Induction of Structured Phoneme Inventories
This extended abstract surveying the work on phonological typology was prepared for "SIGTYP 2020: The Second Workshop on Computational Research in Linguistic Typology" to be held at EMNLP 2020.
On the Use/Misuse of the Term 'Phoneme'
The term 'phoneme' lies at the heart of speech science and technology, and yet it is not clear that the research community fully appreciates its meaning and implications.
