Cargando…
Using Morphological Data in Language Modeling for Serbian Large Vocabulary Speech Recognition
Serbian is in a group of highly inflective and morphologically rich languages that use a lot of different word suffixes to express different grammatical, syntactic, or semantic features. This kind of behaviour usually produces a lot of recognition errors, especially in large vocabulary systems—even...
Autores principales: | Pakoci, Edvin, Popović, Branislav, Pekar, Darko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421827/ https://www.ncbi.nlm.nih.gov/pubmed/30944554 http://dx.doi.org/10.1155/2019/5072918 |
Ejemplares similares
-
Reliability-Based Large-Vocabulary Audio-Visual Speech Recognition
por: Yu, Wentao, et al.
Publicado: (2022) -
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
por: Wu, Jibin, et al.
Publicado: (2020) -
The Serbian language in the digital age
por: Rehm, Georg, et al.
Publicado: (2012) -
Recognition of the Script in Serbian Documents Using Frequency Occurrence and Co-Occurrence Analysis
por: Brodić, Darko, et al.
Publicado: (2013) -
Longitudinal Speech Recognition in Noise in Children: Effects of Hearing Status and Vocabulary
por: Walker, Elizabeth A., et al.
Publicado: (2019)