Discriminatively trained continuous Hindi speech recognition using integrated acoustic features and recurrent neural network language modeling
This paper implements the continuous Hindi Automatic Speech Recognition (ASR) system using the proposed integrated features vector with Recurrent Neural Network (RNN) based Language Modeling (LM). The proposed system also implements the speaker adaptation using Maximum-Likelihood Linear Regression (...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
De Gruyter
2020
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/d4a0a539143344e18b0d33ff422f1ec4 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Soyez le premier à ajouter un commentaire!