The self-taught vocal interface
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[1] Walter Daelemans,et al. A Self-Learning Assistive Vocal Interface Based on Vocabulary Learning and Grammar Induction , 2012, INTERSPEECH.
[2] Seungjin Choi,et al. Semi-Supervised Nonnegative Matrix Factorization , 2010, IEEE Signal Processing Letters.
[3] Frank Rudzicz,et al. Acoustic transformations to improve the intelligibility of dysarthric speech , 2011 .
[4] Hugo Van hamme,et al. Unsupervised learning of time-frequency patches as a noise-robust representation of speech , 2009, Speech Commun..
[5] Hugo Van hamme,et al. HAC-models: a novel approach to continuous speech recognition , 2008, INTERSPEECH.
[6] Stan Davis,et al. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .
[7] Roland Kuhn,et al. Rapid speaker adaptation in eigenvoice space , 2000, IEEE Trans. Speech Audio Process..
[8] Ramón Fernández Astudillo,et al. The DIRHA-GRID corpus: baseline and tools for multi-room distant speech recognition using distributed microphones , 2014, INTERSPEECH.
[9] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .
[10] Chalapathy Neti,et al. Automatic speechreading of impaired speech , 2001, AVSP.
[11] Wolfgang L. Zagler,et al. Computers Helping People with Special Needs, 12th International Conference, ICCHP 2010, Vienna, Austria, July 14-16, 2010, Proceedings, Part II , 2010, ICCHP.
[12] G.D.R. Zon,et al. Using Voice to Control the Civil Flightdeck , 2006 .
[13] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[14] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[15] Christian Bauckhage,et al. Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction , 2011 .
[16] Alex Acero,et al. Rapid development of spoken language understanding grammars , 2006, Speech Commun..
[17] Minhwa Chung,et al. Developing a Voice User Interface with Improved Usability for People with Dysarthria , 2012, ICCHP.
[18] Phil D. Green,et al. Automatic speech recognition with sparse training data for dysarthric speakers , 2003, INTERSPEECH.
[19] Walter Daelemans,et al. A Self Learning Vocal Interface for Speech-impaired Users , 2013, SLPAT.
[20] Hugo Van hamme,et al. Fast vocabulary acquisition in an NMF-based self-learning vocal user interface , 2014, Comput. Speech Lang..
[21] Adrienne M. Acrey. Speech recognition in individuals with dysarthria , 2000 .
[22] Michel Vacher,et al. Distant Speech Recognition in a Smart Home: Comparison of Several Multisource ASRs in Realistic Conditions , 2011, INTERSPEECH.
[23] Felipe Trujillo-Romero,et al. Evolutionary approach for integration of multiple pronunciation patterns for enhancement of dysarthric speech recognition , 2014, Expert Syst. Appl..
[24] Joris Driesen,et al. Discovering Words in Speech using Matrix Factorization (Het ontdekken van woorden in spraak met behulp van matrixfactorisatie) , 2012 .
[25] Sheri Hunnicutt,et al. An investigation of different degrees of dysarthric speech as input to speaker-adaptive and speaker-dependent recognition systems , 2001 .
[26] Bart Vanrumste,et al. Self-taught assistive vocal interfaces: an overview of the ALADIN project , 2013, INTERSPEECH.
[27] C. Middag. Automatic analysis of pathological speech , 2012 .
[28] Derry Fitzgerald,et al. SHIFTED NMF WITH GROUP SPARSITY FOR CLUSTERING NMF BASIS FUNCTIONS , 2012 .
[29] Hugo Van hamme,et al. Comparing and combining classifiers for self-taught vocal interfaces , 2013, SLPAT.
[30] P. Green,et al. Automatic speech recognition and training for severely dysarthric users of assistive technology: The STARDUST project , 2006, Clinical linguistics & phonetics.
[31] Heidi Christensen,et al. homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition , 2013, SLPAT.
[32] Frank Rudzicz,et al. Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech , 2007, Assets '07.
[33] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[34] Heidi Christensen,et al. A comparative study of adaptive, automatic recognition of disordered speech , 2012, INTERSPEECH.