We also need to preserve frequency structure. Currently, we average over the frequency axis to produce 1D frame-level embeddings, which collapses information that distinguishes vowels from consonants (formant structure), pitch (fundamental frequency), and timbral details. Retaining a 2D output or using frequency-aware pooling strategies could keep these cues, and they’re needed for high-quality translation.
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initial rooms of the Room List, for a total of 743'151'616 bits allocated,