One possible strategy is to introduce a pre-processing step using neural networks to perform feature extraction, followed by the existing GMM-based decoding stage. This would allow us to take advantage of the expressive power of neural networks while still leveraging our existing infrastructure and expertise with GMM-HMM systems. However, this approach may require additional engineering effort to integrate the two components and may also introduce new computational requirements.