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Hi all. I have spent most of the past year on real-time speech translation, specifically the browser-based side of it rather than dedicated hardware.
The part that has taught me the most is not the model work. It is everything around the edges. Register, for one. A phrase can be technically correct and completely wrong for the setting, and no amount of accuracy metrics catches that. Dialect handling is another. We ended up curating four separate Arabic dialects by hand because treating Arabic as one entry in a language list produces output that parses fine and sounds strange to anyone who actually speaks it.
Latency is the third, and it is the one I underestimated most. Every marketing claim in this category says sub-second. In an actual back-and-forth conversation you are looking at a few seconds, and the interesting design question is not how to eliminate that gap but how to make it feel less awkward while people wait.
Mostly here to read. Interested in speech recognition, low-latency inference, and anything where a language model has to work in real time rather than in a batch. If anyone is working on similar timing problems in a different domain, I would like to hear how you handle it.
The part that has taught me the most is not the model work. It is everything around the edges. Register, for one. A phrase can be technically correct and completely wrong for the setting, and no amount of accuracy metrics catches that. Dialect handling is another. We ended up curating four separate Arabic dialects by hand because treating Arabic as one entry in a language list produces output that parses fine and sounds strange to anyone who actually speaks it.
Latency is the third, and it is the one I underestimated most. Every marketing claim in this category says sub-second. In an actual back-and-forth conversation you are looking at a few seconds, and the interesting design question is not how to eliminate that gap but how to make it feel less awkward while people wait.
Mostly here to read. Interested in speech recognition, low-latency inference, and anything where a language model has to work in real time rather than in a batch. If anyone is working on similar timing problems in a different domain, I would like to hear how you handle it.