Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] On the use of deep feedforward neural networks for automatic language identification
In this work, we present a comprehensive study on the use of deep neural networks (DNNs)
for automatic language identification (LID). Motivated by the recent success of using DNNs …
for automatic language identification (LID). Motivated by the recent success of using DNNs …
[PDF][PDF] The blz systems for the 2011 nist language recognition evaluation
LJ Rodrıguez-Fuentes, M Penagarikano… - NIST 2011 LRE …, 2011 - Citeseer
This paper briefly describes the language recognition systems developed for the 2011 NIST
Language Recognition Evaluation (LRE) by the BLZ (Bilbao-Lisboa-Zaragoza) team, a …
Language Recognition Evaluation (LRE) by the BLZ (Bilbao-Lisboa-Zaragoza) team, a …
[PDF][PDF] Subspace Gaussian Mixture Models for Language Identification and Dysarthric Speech Intelligibility Assessment
DM González - Unpublished PhD dissertation, University of …, 2015 - researchgate.net
In this thesis, we investigated how to efficiently apply subspace Gaussian mixture modeling
techniques in two speech technology problems, namely automatic spoken language …
techniques in two speech technology problems, namely automatic spoken language …
Unsupervised accent modeling for language identification
D Martínez González, JV López, EL Solano… - Advances in Speech …, 2014 - Springer
In this paper we propose to cluster iVectors to model different accents within a language.
The motivation is that not all the speakers of the same language have the same …
The motivation is that not all the speakers of the same language have the same …
[PDF][PDF] On the use of deep feedforward neural networks for automatic language
In this work, we present a comprehensive study on the use of deep neural networks (DNNs)
for automatic language identification (LID). Motivated by the recent success of using DNNs …
for automatic language identification (LID). Motivated by the recent success of using DNNs …