In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Q: An acoustic word embedding is a function that takes as input a speech segment corresponding to a word, INLINEFORM0 , where each INLINEFORM1 is a vector of frame-level acoustic features, and outputs a fixed-dimensional vector representing the segment, INLINEFORM2 .
Question: How do they represent input features of their model to train embeddings?
A:
a vector of frame-level acoustic features