End-to-End Multi-Speaker Speech Recognition using Speaker Embeddings and Transfer Learning
Table 5: Results (WER, %) of the proposed method and previous works on the two-speaker overlapped speech dataset.
['Method', 'eval']
From the table we can see that the proposed system outperforms the best known result by 42% relatively. However, it should be noted that the listed systems differ from each other in a number of ways, including types of ASR system, types of LM and types and amount of training data.