Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Ryant, P."'
This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations. In contrast to prior work on parsing and POS tagging of transcribed speech, we do not make use of an in domain treebank for training. Instea
Externí odkaz:
http://arxiv.org/abs/2307.05796
Publikováno v:
Jurnal Layanan Masyarakat (Journal of Public Services), Vol 8, Iss 3, Pp 441-450 (2024)
Degenerative diseases that many people suffer from, including heart disease, stroke, hypertension, diabetes mellitus, cancer, and chronic kidney failure, have increased. In demographic data referring to the 2018 Riskesdas, for example, strokes increa
Externí odkaz:
https://doaj.org/article/212183d6dd404ad7acf772ba826d67e6
Fundamental frequency (F0) has long been treated as the physical definition of "pitch" in phonetic analysis. But there have been many demonstrations that F0 is at best an approximation to pitch, both in production and in perception: pitch is not F0,
Externí odkaz:
http://arxiv.org/abs/2204.04579
We describe the construction and evaluation of a part-of-speech tagger for Yiddish. This is the first step in a larger project of automatically assigning part-of-speech tags and syntactic structure to Yiddish text for purposes of linguistic research.
Externí odkaz:
http://arxiv.org/abs/2204.01175
We present the first parsing results on the Penn-Helsinki Parsed Corpus of Early Modern English (PPCEME), a 1.9 million word treebank that is an important resource for research in syntactic change. We describe key features of PPCEME that make it chal
Externí odkaz:
http://arxiv.org/abs/2112.08532
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33035- (2024)
The high input of nitrogen is often required in today's agriculture, especially for the most cultivated crops largely involved in human and animal nutrition, such as winter wheat. Nitrogen is a mobile nutrient in the soil, and the high doses of N are
Externí odkaz:
https://doaj.org/article/525e7edba30e4db2aaf0dee4d5db1ceb
This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2.0 with CTC, a method that has been successful in automatic speech recognition. We demonstrate that the method can improve the state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2108.01122
Autor:
Jakub Prudil, Lubica Pospíšilová, Tamara Dryšlová, Gabriela Barančíková, Vladimír Smutný, Luboš Sedlák, Pavel Ryant, Petr Hlavinka, Miroslav
Publikováno v:
Plant, Soil and Environment, Vol 69, Iss 11, Pp 532-544 (2023)
Long-term field experiments provide a valuable dataset for predicting changes in soil organic carbon (SOC) stocks in different agricultural systems. The RothC-26.3 model was used to simulate changes in SOC in the monoculture of spring barley (Hordeum
Externí odkaz:
https://doaj.org/article/56735305e2704116a42e17bef3a02121
Autor:
Ryant, Neville, Singh, Prachi, Krishnamohan, Venkat, Varma, Rajat, Church, Kenneth, Cieri, Christopher, Du, Jun, Ganapathy, Sriram, Liberman, Mark
DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise conditions, and conversational domain. Speaker diarization was evaluated und
Externí odkaz:
http://arxiv.org/abs/2012.01477
Pre-trained acoustic representations such as wav2vec and DeCoAR have attained impressive word error rates (WER) for speech recognition benchmarks, particularly when labeled data is limited. But little is known about what phonetic properties these var
Externí odkaz:
http://arxiv.org/abs/2010.13007