Fetching the paper…
Reading the bibliography…
In the FAME! Project, a code-switching (CS) automatic speech recognition (ASR) system for Frisian-Dutch speech is developed that can accurately transcribe the local broadcaster's bilingual archives with CS speech.
E. Yılmaz, H. Van den Heuvel, and D. A. Van Leeuwen, “Acoustic and textual data augmentation for improved ASR of code-switching speech,” in
1937
Earlier work this paper cites.
U. Weinreich,
1953
Earlier work this paper cites.
C. Myers-Scotton, “Codeswitching with English: types of switching, types of communities,”
1989
Earlier work this paper cites.
J. G. Fiscus, “A post-processing system to yield reduced word error rates: Recognizer Output Voting Error Reduction (ROVER),” in
1997
Earlier work this paper cites.
P. Auer,
1998
Earlier work this paper cites.
P. C. Muysken,
2000
Earlier work this paper cites.
L. Mangu, E. Brill, and A. Stolcke, “Finding consensus in speech recognition: word error minimization and other applications of confusion networks,”
2000
Earlier work this paper cites.
N. Oostdijk, “The spoken Dutch corpus: Overview and first evaluation,” in
2000
Earlier work this paper cites.
S. Thomason,
2001
Earlier work this paper cites.
T. J. Hazen, I. L. Hetherington, and A. Park, “FST-Based recognition techniques for multi-lingual and multi-domain spontaneous speech,” in
2001
Earlier work this paper cites.
M. Mohri, F. Pereira, and M. Riley, “Weighted finite-state transducers in speech recognition,”
2002
Earlier work this paper cites.
C. Fügen, S. Stüker, H. Soltau, F. Metze, and T. Schultz, “Efficient handling of multilingual language models,” in
2003
Earlier work this paper cites.
D.-C. Lyu, R.-Y. Lyu, Y.-C. Chiang, and C.-N. Hsu, “Speech recognition on code-switching among the Chinese dialects,” in
2006
Earlier work this paper cites.
I.-F. Chen and L.-S. Lee, “A new framework for system combination based on integrated hypothesis space,” in
2006
Earlier work this paper cites.
C. Allauzen, M. Riley, J. Schalkwyk, W. Skut, and M. Mohri, “OpenFst: A general and efficient weighted finite-state transducer library,” in
2007
Cited alongside, same era.
B. Bullock and A. Toribio, Eds.,
2009
Cited alongside, same era.
T. Mikolov, M. Karafiát, L. Burget, J. Cernocký, and S. Khudanpur, “Recurrent neural network based language model,” in
2010
Cited alongside, same era.
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky, G. Stemmer, and K. Vesely, “The Kaldi speech recognition toolkit,” in
2011
Cited alongside, same era.
N. T. Vu, D.-C. Lyu, J. Weiner, D. Telaar, T. Schlippe, F. Blaicher, E.-S. Chng, T. Schultz, and H. Li, “A first speech recognition system for Mandarin-English code-switch conversational speech,” in
2012
Cited alongside, same era.
2014
Later among the works it cites.
C. H. Wu, H. P. Shen, and C. S. Hsu, “Code-switching event detection by using a latent language space model and the delta-Bayesian information criterion,”
2015
Later among the works it cites.
X. Chen, X. Liu, M. J. F. Gales, and P. C. Woodland, “Recurrent neural network language model training with noise contrastive estimation for speech recognition,” in
2015
Later among the works it cites.
E. Yılmaz, H. Van den Heuvel, and D. A. Van Leeuwen, “Investigating bilingual deep neural networks for automatic speech recognition of code-switching Frisian speech,”
2016
Later among the works it cites.
E. Yılmaz, H. van den Heuvel, and D. van Leeuwen, “Code-switching detection using multilingual DNNs,” in
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Weiner, N. T. Vu, D. Telaar, F. Metze, T. Schultz, D.-C. Lyu, E.-S. Chng, and H. Li, “Integration of language identification into a recognition system for spoken conversations containing code-switches,” in
2012
Cited alongside, same era.
Y. Li and P. Fung, “Code switching language model with translation constraint for mixed language speech recognition,” in
2012
Cited alongside, same era.
D. Povey, M. Hannemann, G. Boulianne, L. Burget, A. Ghoshal, M. Janda, M. Karafiát, S. Kombrink, P. Motlícek, Y. Qian, K. Riedhammer, K. Veselý, and N. T. Vu, “Generating exact lattices in the WFST framework,”
2012
Cited alongside, same era.
H. Yamamoto, P. R. Dixon, S. Matsuda, C. Hori, and H. Kashioka, “Tied-state mixture language model for WFST-based speech recognition,” in
2012
Cited alongside, same era.
D.-C. Lyu, E.-S. Chng, and H. Li, “Language diarization for code-switch conversational speech,” in
2013
Cited alongside, same era.
H. Adel, N. T. Vu, F. Kraus, T. Schlippe, H. Li, and T. Schultz, “Recurrent neural network language modeling for code switching conversational speech,” in
2013
Cited alongside, same era.
B. Lecouteux, G. Linarès, Y. Estève, and G. Gravier, “Dynamic combination of automatic speech recognition systems by driven decoding,”
2013
Cited alongside, same era.
2016
Later among the works it cites.
E. Yılmaz, M. Andringa, S. Kingma, F. Van der Kuip, H. Van de Velde, F. Kampstra, J. Algra, H. Van den Heuvel, and D. A. Van Leeuwen, “A longitudinal bilingual Frisian-Dutch radio broadcast database designed for code-switching research,” in
2016
Later among the works it cites.
D. Povey, V. Peddinti, D. Galvez, P. Ghahremani, V. Manohar, X. Na, Y. Wang, and S. Khudanpur, “Purely sequence-trained neural networks for ASR based on lattice-free MMI,” in
2016
Later among the works it cites.
E. Van der Westhuizen and T. Niesler, “Synthesising isiZulu-English code-switch bigrams using word embeddings,” in
2017
Later among the works it cites.
E. Yılmaz, M. McLaren, H. Van den Heuvel, and D. A. Van Leeuwen, “Language diarization for semi-supervised bilingual acoustic model training,” in
2017
Later among the works it cites.
A. Singh and T.-P. Tan, “Evaluating code-switched Malay-English speech using time delay neural networks,” in
2018
Later among the works it cites.
E. Yılmaz, M. McLaren, H. Van den Heuvel, and D. A. Van Leeuwen, “Semi-supervised acoustic model training for speech with code-switching,”
2018
Later among the works it cites.
——, “Code-Switching Detection with Data-Augmented Acoustic and Language Models,” in
2018
Later among the works it cites.
V. Peddinti, Y. Wang, D. Povey, and S. Khudanpur, “Low latency acoustic modeling using temporal convolution and LSTMs,”
2018
Later among the works it cites.