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Found 4 papers, 1 papers with code
JHU IWSLT 2022 Dialect Speech Translation System Description
This paper details the Johns Hopkins speech translation (ST) system used in the IWLST2022 dialect speech translation task.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation
We introduce HK-LegiCoST, a new three-way parallel corpus of Cantonese-English translations, containing 600+ hours of Cantonese audio, its standard traditional Chinese transcript, and English translation, segmented and aligned at the sentence level.
Exploring Methods for the Automatic Detection of Errors in Manual Transcription
Quality of data plays an important role in most deep learning tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery
Acoustic unit discovery (AUD) is a process of automatically identifying a categorical acoustic unit inventory from speech and producing corresponding acoustic unit tokenizations.
