Cargando…
Deep Bottleneck Features for Spoken Language Identification
A key problem in spoken language identification (LID) is to design effective representations which are specific to language information. For example, in recent years, representations based on both phonotactic and acoustic features have proven their effectiveness for LID. Although advances in machine...
Autores principales: | Jiang, Bing, Song, Yan, Wei, Si, Liu, Jun-Hua, McLoughlin, Ian Vince, Dai, Li-Rong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4077656/ https://www.ncbi.nlm.nih.gov/pubmed/24983963 http://dx.doi.org/10.1371/journal.pone.0100795 |
Ejemplares similares
-
Spoken Language Identification Using Deep Learning
por: Singh, Gundeep, et al.
Publicado: (2021) -
Spoken and written language
por: Halliday, M. A. K. (Michael Alexander Kirkwood), 1925-
Publicado: (1989) -
Local Coding Based Matching Kernel Method for Image Classification
por: Song, Yan, et al.
Publicado: (2014) -
Conventions for unconventional language: Revisiting a framework for
spoken language features in autism
por: Luyster, Rhiannon J, et al.
Publicado: (2022) -
Spoken language and applied linguistics
por: McCarthy, Michael, 1947-
Publicado: (1998)