Name
Abstract | ||
|---|---|---|
This paper introduces StutterNet, a novel deep learning based stuttering detection capable of detecting and identifying various types of disfluencies. Most of the existing work in this domain uses automatic speech recognition (ASR) combined with language models for stuttering detection. Compared to the existing work, which depends on the ASR module, our method relies solely on the acoustic signal.... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/EUSIPCO54536.2021.9616063 | 2021 29th European Signal Processing Conference (EUSIPCO) |
Keywords | DocType | ISSN |
Visualization,Neural networks,Filter banks,Europe,Signal processing,Real-time systems,Delays | Conference | 2076-1465 |
ISBN | Citations | PageRank |
978-9-0827-9706-0 | 1 | 0.40 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shakeel A. Sheikh | 1 | 1 | 0.40 |
| Md Sahidullah | 2 | 1 | 0.73 |
| Fabrice Hirsch | 3 | 1 | 0.73 |
| Slim Ouni | 4 | 1 | 0.73 |