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End-to-end neural segmental models for speech recognition

Research output: Contribution to journalArticlepeer-review

Standard

End-to-end neural segmental models for speech recognition. / Hao, Tang; Lu, Liang; Kong, Lingpeng; Gimpel, Kevin; Livescu, Karen; Dyer, Chris; Smith, Noah A.; Renals, Steve.

In: IEEE Journal of Selected Topics in Signal Processing, Vol. 11, No. 8, 14.09.2017, p. 1254-1264.

Research output: Contribution to journalArticlepeer-review

Harvard

Hao, T, Lu, L, Kong, L, Gimpel, K, Livescu, K, Dyer, C, Smith, NA & Renals, S 2017, 'End-to-end neural segmental models for speech recognition', IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 8, pp. 1254-1264. https://doi.org/10.1109/JSTSP.2017.2752462

APA

Hao, T., Lu, L., Kong, L., Gimpel, K., Livescu, K., Dyer, C., Smith, N. A., & Renals, S. (2017). End-to-end neural segmental models for speech recognition. IEEE Journal of Selected Topics in Signal Processing, 11(8), 1254-1264. https://doi.org/10.1109/JSTSP.2017.2752462

Vancouver

Hao T, Lu L, Kong L, Gimpel K, Livescu K, Dyer C et al. End-to-end neural segmental models for speech recognition. IEEE Journal of Selected Topics in Signal Processing. 2017 Sep 14;11(8):1254-1264. https://doi.org/10.1109/JSTSP.2017.2752462

Author

Hao, Tang ; Lu, Liang ; Kong, Lingpeng ; Gimpel, Kevin ; Livescu, Karen ; Dyer, Chris ; Smith, Noah A. ; Renals, Steve. / End-to-end neural segmental models for speech recognition. In: IEEE Journal of Selected Topics in Signal Processing. 2017 ; Vol. 11, No. 8. pp. 1254-1264.