This gives Amazon, Apple and Google a nice advantage since they are able to collect huge sample sets of actual voice commands used by people and to some extent also correlate them with the actual action taken by the person.
How could we collect such dataset? It's a bit chicken-egg problem. I don't want to talk to some open source system unless it has fairly good chance of understanding me. Should we try to half manually (through crowd sourcing) come up with potential requests like "Check news from CNN.com", "Order me quattro stagioni" which could be then fed to platform like Common Voice?
Or should we work on higher level. Come up with task descriptions ("You want to order taxi to get to airport for your morning flight at 7am") and then let people record how they would actually request this from computer with voice. This might more accurately capture the language we actually use when speaking. Through some simple automation you could generate variations of the requests and at least partly the same base material could be used for different languages (task given in English, ask person to make the request in Finnish).