3 papers
cs.CL2021
Segmenting Subtitles for Correcting ASR Segmentation Errors
David Wan, Chris Kedzie, Faisal Ladhak +6
Typical ASR systems segment the input audio into utterances using purely acoustic information, which may not resemble the sentence-like units that are expected by conventional mach…
cs.CL2020
Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines
David Wan, Zhengping Jiang, Chris Kedzie +3
In this work, we focus on improving ASR output segmentation in the context of low-resource language speech-to-text translation. ASR output segmentation is crucial, as ASR systems s…
cs.CL2019
Uncertain Natural Language Inference
Tongfei Chen, Zhengping Jiang, Adam Poliak +2
We introduce Uncertain Natural Language Inference (UNLI), a refinement of Natural Language Inference (NLI) that shifts away from categorical labels, targeting instead the direct pr…