DrLAL is correct. The bottom line is small footprint, low resource drain and cost effective for the chip manufacturer. That's why companies prefer a vendor like Rubidium as opposed to one that demands more resources like Nuance.
I tend to agree with DrLAL. You need a lot of acoustic databases to be accommodated on the chip for the parallel searches to come up with meaningful results. If they stick to the automotive speech recognition domain they can probably get away with a limited vocabulary but they will need pretty fast search capabilities for real-time response in a vehicle setting. Wonder if the Apple folks have not thought to embed their Siri in cars' infotainment system. Seems like a natural.
"Spansion promises its accelerators will cut in half both system response time and the CPU workload for voice recognition. The chip essentially stores acoustic databases and performs parallel searches across them". Won't it run out of storage space?
With a lot of car makers coming to the Valley to do R&D of infotainment, voice recognition seems like a good move. Voice recognition seems to be the MMI in the future. Samsung SmartTV supports it. The technology may likely apply everywhere.
As we unveil EE Times’ 2015 Silicon 60 list, journalist & Silicon 60 researcher Peter Clarke hosts a conversation on startups in the electronics industry. Panelists Dan Armbrust (investment firm Silicon Catalyst), Andrew Kau (venture capital firm Walden International), and Stan Boland (successful serial entrepreneur, former CEO of Neul, Icera) join in the live debate.