Whisper Encoder

Whisper, a large pre-trained speech model, is being extensively adapted for various speech processing tasks beyond its original automatic speech recognition capabilities. Current research focuses on leveraging Whisper's encoder, often in conjunction with other models like LLMs, to improve speaker verification, emotion recognition, and low-resource language processing through techniques such as multi-scale feature aggregation and parameter-efficient fine-tuning. This adaptability demonstrates Whisper's potential as a powerful foundation model for diverse applications, impacting fields like healthcare (suicide risk detection, speech therapy assessment) and human-computer interaction.