Conferencia
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 "Spoken language recognition based on senone posteriors" (2014) 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014:2150-2154
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Abstract:
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 frame level. A feature vector is then derived for every sample using these posteriors. The effect of the language used in training the NN and the number of senones are studied. Speech-activity detection (SAD) and dimensionality reduction approaches are also explored and Gaussian and NN backends are compared. Results are presented on heavily degraded speech data. The proposed system is shown to give over 40% relative gain compared to a state-of-the-art language recognition system at sample durations from 3 to 120 seconds. Copyright © 2014 ISCA.
Registro:
| Documento: | Conferencia |
| Título: | Spoken language recognition based on senone posteriors |
| Autor: | 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 |
| Filiación: | Speech Technology and Research Laboratory, SRI InternationalCA, United States Departamento de Computación, FCEN, Universidad de Buenos Aires and CONICET, Argentina |
| Palabras clave: | Speech communication; Activity detection; Dimensionality reduction; Feature vectors; Language recognition; Neural network (nn); Posterior probability; Speech data; Spoken language recognition; Speech recognition |
| Año: | 2014 |
| Página de inicio: | 2150 |
| Página de fin: | 2154 |
| Título revista: | 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014 |
| Título revista abreviado: | Proc. Annu. Conf. Int. Speech. Commun. Assoc., INTERSPEECH |
| ISSN: | 2308457X |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v_n_p2150_Ferrer |
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Citas:
---------- APA ----------
Ferrer, L., Lei, Y., McLaren, M., Scheffer, N., Chng E.S., Li H., Meng H.,..., Amazon; Baidu; et al.; Google; Temasek Laboratories at Nanyang Technological University (TL at NTU); WeChat (2014) . Spoken language recognition based on senone posteriors. 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014, 2150-2154.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v_n_p2150_Ferrer [ ]
---------- CHICAGO ----------
Ferrer, L., Lei, Y., McLaren, M., Scheffer, N., Chng E.S., Li H., et al. "Spoken language recognition based on senone posteriors" . 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014 (2014) : 2150-2154.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v_n_p2150_Ferrer [ ]
---------- MLA ----------
Ferrer, L., Lei, Y., McLaren, M., Scheffer, N., Chng E.S., Li H., et al. "Spoken language recognition based on senone posteriors" . 15th Annual Conference of the International Speech Communication Association: Celebrating the Diversity of Spoken Languages, INTERSPEECH 2014, 2014, pp. 2150-2154.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v_n_p2150_Ferrer [ ]
---------- VANCOUVER ----------
Ferrer, L., Lei, Y., McLaren, M., Scheffer, N., Chng E.S., Li H., et al. Spoken language recognition based on senone posteriors. Proc. Annu. Conf. Int. Speech. Commun. Assoc., INTERSPEECH. 2014:2150-2154.Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_2308457X_v_n_p2150_Ferrer [ ]
