Chongjia Ni

Are Soft Prompts Good Zero-Shot Learners for Speech Recognition?

2024

Large self-supervised pre-trained speech models require computationally expensive fine-tuning for downstream tasks. Soft prompt tuning offers a simple parameter-efficient alternative by utilizing minimal soft prompt guidance, enhancing portability while also maintaining competitive performance. However, not …

Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data

2019

The lack of code-switch training data is one of the major concerns in the development of end-to-end code-switching automatic speech recognition (ASR) models. In this work, we propose a method to train an improved end-to-end …