Search Results for author:
Found 8 papers, 4 papers with code
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling
Dense retrieval methods have demonstrated promising performance in multilingual information retrieval, where queries and documents can be in different languages.
Towards General-Purpose Text-Instruction-Guided Voice Conversion
This paper introduces a novel voice conversion (VC) model, guided by text instructions such as "articulate slowly with a deep tone" or "speak in a cheerful boyish voice".
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation
Conversational search provides a natural interface for information retrieval (IR).
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)
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Model Extraction Attack against Self-supervised Speech Models
In the first stage, SSL is conducted on the large-scale unlabeled corpus to pre-train a small speech model.
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.
The Efficacy of Self-Supervised Speech Models for Audio Representations
Extensive experiments on speech and non-speech audio datasets are conducted to investigate the representation abilities of our ensemble method and its single constituent model.
