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Found 6 papers, 2 papers with code
Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
We introduce a new zero resource code-switched speech benchmark designed to directly assess the code-switching capabilities of self-supervised speech encoders.
Improving Cascaded Unsupervised Speech Translation with Denoising Back-translation
We use fully unpaired data to train our unsupervised systems and evaluate our results on CoVoST 2 and CVSS.
Ensemble knowledge distillation of self-supervised speech models
We tried two different aggregation techniques, layerwise-average and layerwise-concatenation, to the representations of different teacher models and found that the former was more effective.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Improving generalizability of distilled self-supervised speech processing models under distorted settings
Self-supervised learned (SSL) speech pre-trained models perform well across various speech processing tasks.
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation
Speech distortions are a long-standing problem that degrades the performance of supervisely trained speech processing models.
Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models
Code-switching (CS) is common in daily conversations where more than one language is used within a sentence.
