14.4 A scalable speech recognizer with deep-neural-network acoustic models and voice-activated power gating

By Michael Price, James R. Glass, Anantha P. Chandrakasan. 2017

79 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Sameh Sorour
4. M. Mohammadi
5. Ekram Hossain
6. Sanjay Chawla
7. Raghavendra Chalapathy
8. Syed Ali Hassan

In Signal Processing

1. Ala Al-Fuqaha
2. Mohsen Guizani
3. Sameh Sorour
4. M. Mohammadi

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “[91] have reported that they have built a specialpurpose low-power DL chip for automatic speech recognition.”
• A 65nm 1Mb nonvolatile computing-in-memory ReRAM macro with sub-16ns multiply-and-accumulate for binary DNN AI edge processors (2018, methodology): “Then, RWLC turns on NWL replica WLs (RWLs), from RWL[1] to RWL[NWL].”