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The only concern I always thought about was whether speech recognition would every be accurate enough using low processing power. The development beyond popular
by newyankee 5y ago
The only concern I always thought about was whether speech recognition would every be accurate enough using low processing power. The development beyond popular languages seem to have plateaued. I am sure speech recognition specifically is much better and looking at OpenAI demos blow my mind even now, but I have personally not observed significant difference in voice recognition on my Android smartphone - 2013 vs today.
- whimsicalism 5y agoNot true at all for me, noticeable improvements in speech recognition and it is easy to get low cpu and accurate speech recognition with a framework like wav2letter. 2013 phones hardly even had speech recognition, 2 years after Siri was released. I do think we have to guard against our cognitive biases that often stop us from noticing gradual but continuous improvements.
- datameta 5y agoWe can do keyword spotting with microcontrollers now. All kinds of techniques like quantization and tree pruning are squeezing down more capable NLP models further and further. There is dedicated analog hardware being developed for in-memory compute (ReRAM, photonic). TinyML/AIoT is shaping up to be one of the most society-defining technologies of this decade.
- cudgy 5y agoMy old Motorola Razr had less friction than Siri on the iPhone. Processing was local and fast … Siri gives me a beachball for a few seconds and I am unsure if Siri heard me or not so I repeat what I said again and then Siri shuts down. Hey Siri! Hey Siri!! Hey Siri #%&@it!!!!!