Conformer, Transformer, and Branchformer models raise
NotImplementedError for batch decoding. Only Paraformer and
e_paraformer support batch_size>1 for inference. Revert the
non-Paraformer recipes back to batch_size=1.
The conformer, transformer, branchformer, and e_branchformer recipes
had inference_batch_size=1 which made GPU decoding extremely slow
(processing one utterance at a time). Changed to 32 to match the
paraformer recipe and utilize GPU parallelism during inference.