Speech Recognition

Classical speech systems chained together an acoustic model, a pronunciation dictionary and a language model. Modern systems replace the chain with one network that maps audio features directly to characters or tokens.

The remaining difficulty is not the clean case but the messy one: accents, background noise, overlapping speakers and domain vocabulary. Evaluation uses word error rate, which punishes insertions, deletions and substitutions equally even though they rarely matter equally.