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• Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition
  2022 · 2 citations
• Dual Script E2E framework for Multilingual and Code-Switching ASR
  2021
• DECAR: Deep Clustering for learning general-purpose Audio Representations
  2021
• MAST: Multiscale Audio Spectrogram Transformers
  2022
• SLICER: Learning universal audio representations using low-resource self-supervised pre-training
  2022
• UNFUSED: UNsupervised Finetuning Using SElf supervised Distillation
  2023
• Stable Distillation: Regularizing Continued Pre-training for Low-Resource Automatic Speech Recognition
  2023
• FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised Learning
  2023
• EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning
  2024
• PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification
  2024
• Do Audio-Language Models Understand Linguistic Variations?
  2024