Name
Title | ||
|---|---|---|
A review of on-device fully neural end-to-end automatic speech recognition algorithms |
Abstract | ||
|---|---|---|
In this paper, we review various end-to-end automatic speech recognition algorithms and their optimization techniques for on-device applications. Conventional speech recognition systems comprise a large number of discrete components such as an acoustic model, a language model, a pronunciation model, a text-normalizer, an inverse-text normalizer, a decoder based on a Weighted Finite State Transduce... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IEEECONF51394.2020.9443456 | 2020 54th Asilomar Conference on Signals, Systems, and Computers |
Keywords | DocType | ISBN |
Transducers,Recurrent neural networks,Quantization (signal),Program processors,Computational modeling,Speech recognition,Classification algorithms | Conference | 978-0-7381-3126-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chanwoo Kim | 1 | 253 | 28.44 |
| Dhananjaya Gowda | 2 | 3 | 5.47 |
| Dongsoo Lee | 3 | 233 | 30.63 |
| Jiyeon Kim | 4 | 0 | 2.37 |
| Ankur N Kumar | 5 | 8 | 3.39 |
| Sungsoo Kim | 6 | 115 | 24.95 |
| Abhinav Garg | 7 | 6 | 6.61 |
| Changwoo Han | 8 | 0 | 1.01 |