Código QR (código de barras bidimensional)

Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition

Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech information such as a pronunciation dictionary, and its system is built through a single neural network and obtains performance comparable to that of traditional methods. However, the model requires massive amounts...

ver descrição completa

Na minha lista:
Principais autores: Zeyu Ren, Nurmemet Yolwas, Wushour Slamu, Ronghe Cao, Huiru Wang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-09-01
coleção:Sensors
Assuntos:
agglutinative language speech recognition
hybrid CTC/attention architecture
low-resource
data augmentation
MSPC
Acesso em linha:https://www.mdpi.com/1424-8220/22/19/7319
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados