Name
Abstract | ||
|---|---|---|
We address voice activity detection in acoustic environments of transients and stationary noises, which often occur in real-life scenarios. We exploit unique spatial patterns of speech and non-speech audio frames by independently learning their underlying geometric structure. This process is done through a deep encoder-decoder-based neural network architecture. This structure involves an encoder t... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSTSP.2019.2909472 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Voice activity detection,Decoding,Transient analysis,Noise measurement,Neural networks,Real-time systems,Feature extraction | Computer vision,Pattern recognition,Computer science,Voice activity detection,Communications system,Exploit,Robustness (computer science),Concatenation,Encoder,Artificial intelligence,Diffusion map,Artificial neural network | Journal |
Volume | Issue | ISSN |
13 | 2 | 1932-4553 |
Citations | PageRank | References |
4 | 0.45 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Ivry | 1 | 10 | 1.69 |
| Baruch Berdugo | 2 | 252 | 25.63 |
| Israel Cohen | 3 | 144 | 14.80 |