Spoken language recognition based on senone posteriors

This paper explores in depth a recently proposed approach to spoken language recognition based on the estimated posteriors for a set of senones representing the phonetic space of one or more languages. A neural network (NN) is trained to estimate the posterior probabilities for the senones at a fram...

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Detalles Bibliográficos
Autores principales: Ferrer, L., Lei, Y., McLaren, M., Scheffer, N., Chng E.S., Li H., Meng H., Ma B., Xie L., Amazon; Baidu; et al.; Google; Temasek Laboratories at Nanyang Technological University (TL at NTU); WeChat
Formato: CONF
Materias:
Speech communication
Activity detection
Dimensionality reduction
Feature vectors
Language recognition
Neural network (nn)
Posterior probability
Speech data
Spoken language recognition
Speech recognition
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_2308457X_v_n_p2150_Ferrer
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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