Question 4
Which statements accurately describe the roles, constraints, and data-processing behaviors when preparing batches for speech models (e.g., Whisper, Wav2Vec2, and SpeechT5) using the Hugging Face Transformers library?
Dynamic padding in speech data collators pads input features and target labels only to the maximum sequence length within each batch, reducing unnecessary memory usage compared to dataset-wide padding.
Speech data collators automatically resample raw audio (e.g., from 44.1 kHz to 16 kHz) during batch collation before creating model inputs.