Question 6
A multilingual language identification model is trained to classify 40 languages. The training dataset contains 1000 audio clips per language, and each audio clip has been resampled to 16 kHz. The Transformer encoder produces a 1024 dimensional embedding for every audio clip.
During training, a mini-batch contains 64 audio clips. Before the classification layer, the embeddings are stacked into a tensor of shape (batch_size, embedding_dimension).
Question: Determine the total number of embedding values in this output tensor.