97 citations · 218 across the 9 of their papers we have counts for
11 papers
Inferring Pitch from Coarse Spectral Features
Danni Ma, Neville Ryant, Mark Liberman
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 approxima…
Automatic recognition of suprasegmentals in speech
Jiahong Yuan, Neville Ryant, Xingyu Cai +2
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 recogn…
The Third DIHARD Diarization Challenge
Neville Ryant, Prachi Singh, Venkat Krishnamohan +6
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 condit…
Neural Representations for Modeling Variation in Speech
Martijn Bartelds, Wietse de Vries, Faraz Sanal +3
Variation in speech is often quantified by comparing phonetic transcriptions of the same utterance. However, manually transcribing speech is time-consuming and error prone. As an a…
Probing Acoustic Representations for Phonetic Properties
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…
Third DIHARD Challenge Evaluation Plan
Neville Ryant, Kenneth Church, Christopher Cieri +3
This paper introduces the third DIHARD challenge, the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation in…