This paper introduces a new test response compaction scheme that rests on convolutional compactors. The resultant compression, however, is not limited by the ratio of scan chains to compactor outputs. This enhanced convolutional compactor, similarly to its origin, is capable of handling unknown states and detecting multiple errors. The experimental results demonstrate efficiency of the proposed scheme.