Adapting Whisper Models Using LoHA for Robust Recognition of Children's Speech
Fine-tuning of large pre-trained models, such as Whisper, has gained prominence in the area of speech processing. Since full fine-tuning requires a large amount of data as well as high-ended computational resources, parameter efficient fine-tuning (PEFT) has been the preferred choice among researchers. During the past...