no code implementations • 11 Jul 2023 • Seth Kulick, Neville Ryant, David J. Irwin, Naomi Nevler, Sunghye Cho
This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations.
2 code implementations • 3 Apr 2022 • Seth Kulick, Neville Ryant, Beatrice Santorini, Joel Wallenberg, Assaf Urieli
We describe the construction and evaluation of a part-of-speech tagger for Yiddish.
no code implementations • Findings (NAACL) 2022 • Seth Kulick, Neville Ryant, Beatrice Santorini
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.
no code implementations • 2 Aug 2021 • Jiahong Yuan, Neville Ryant, Xingyu Cai, Kenneth Church, Mark Liberman
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.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
3 code implementations • 2 Dec 2020 • Neville Ryant, Prachi Singh, Venkat Krishnamohan, Rajat Varma, Kenneth Church, Christopher Cieri, Jun Du, Sriram Ganapathy, Mark Liberman
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.
1 code implementation • 25 Oct 2020 • Danni Ma, Neville Ryant, Mark Liberman
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.
no code implementations • 20 Apr 2020 • Shinji Watanabe, Michael Mandel, Jon Barker, Emmanuel Vincent, Ashish Arora, Xuankai Chang, Sanjeev Khudanpur, Vimal Manohar, Daniel Povey, Desh Raj, David Snyder, Aswin Shanmugam Subramanian, Jan Trmal, Bar Ben Yair, Christoph Boeddeker, Zhaoheng Ni, Yusuke Fujita, Shota Horiguchi, Naoyuki Kanda, Takuya Yoshioka, Neville Ryant
Following the success of the 1st, 2nd, 3rd, 4th and 5th CHiME challenges we organize the 6th CHiME Speech Separation and Recognition Challenge (CHiME-6).
no code implementations • SCiL 2022 • Seth Kulick, Neville Ryant
We investigate the question of whether advances in NLP over the last few years make it possible to vastly increase the size of data usable for research in historical syntax.
1 code implementation • 18 Jun 2019 • Neville Ryant, Kenneth Church, Christopher Cieri, Alejandrina Cristia, Jun Du, Sriram Ganapathy, Mark Liberman
This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in recording equipment, noise conditions, and conversational domain.