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Found 5 papers, 1 papers with code
SemEval-2022 Task 3: PreTENS-Evaluating Neural Networks on Presuppositional Semantic Knowledge
We report the results of the SemEval 2022 Task 3, PreTENS, on evaluation the acceptability of simple sentences containing constructions whose two arguments are presupposed to be or not to be in an ordered taxonomic relation.
Speech collage: code-switched audio generation by collaging monolingual corpora
Designing effective automatic speech recognition (ASR) systems for Code-Switching (CS) often depends on the availability of the transcribed CS resources.
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition
Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Arabic Code-Switching Speech Recognition using Monolingual Data
Code-switching in automatic speech recognition (ASR) is an important challenge due to globalization.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Balanced End-to-End Monolingual pre-training for Low-Resourced Indic Languages Code-Switching Speech Recognition
In this paper, we exploit the transfer learning approach to design End-to-End (E2E) CS ASR systems for the two low-resourced language pairs using different monolingual speech data and a small set of noisy CS data.
