WHAM!: Extending Speech Separation to Noisy Environments
Table 3: SI-SDR [dB] improvement comparison of different chimera++ objectives for noisy separation on 8 kHz min
['DPCL Objective', 'DPCL Sources', 'Δ SI-SDR']
Without finetuning, the combined system does not perform as well as the best performing chimera++ approaches. However, if we finetune the separate-clean model on the outputs of the trained enhance-both model, the combined system outperforms all the jointly trained chimera++ approaches. While this method is more computationally expensive, it may be useful for systems with a pre-existing enhancement algorithm.