Large-scale attempts to replicate published studies across the quantitative sciences have uncovered surprisingly low replication rates. This discovery has led to what is now referred to as the “replication crisis”. Since our understanding of human language is increasingly shaped by quantitative data, there are raising concerns that a similar state of affairs is true for quantitative linguistics because it shares with other disciplines many research practices that decrease the replicability of published findings. In this talk, I will have a closer look at quantitative linguistics in general and the speech sciences in particular. I will suggest promising ways forward to increase the transparency, reproducibility, and replicability of our work. Moreover, I will offer actionable solutions that can help us create a more robust empirical foundation of quantitative linguistics and aid us in saving time and resources.