Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection

Understand

Large Language Models (LLMs) have demonstrated remarkable success across diverse fields, establishing a powerful paradigm for complex information processing.

• This has inspired the integration of speech into LLM frameworks, often by tokenizing continuous audio via neural speech codecs, enabling powerful speech language models.
• However, this dominant tokenization strategy relies on uniform frame-based processing at fixed time intervals.
• This fixed-rate approach, while effective for linguistic content, destroys the temporal dynamics.