Deep speech: Scaling up end-to-end speech recognition, 2014. ,
EESEN: End-to-end speech recognition using deep RNN models and WFST-based decoding, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.167-174, 2015. ,
DOI : 10.1109/ASRU.2015.7404790
URL : http://arxiv.org/abs/1507.08240
Towards unsupervised speech processing, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), pp.1-4 ,
DOI : 10.1109/ISSPA.2012.6310546
A summary of the 2012 JH CLSP Workshop on zero resource speech technologies and models of early language acquisition, Proceedings of ICASSP 2013, 2013. ,
Breaking the unwritten kanguage barrier: The Bulb project, Proceedings of SLTU (Spoken Language Technologies for Under-Resourced Languages), 2016. ,
DOI : 10.1016/j.procs.2016.04.023
URL : https://doi.org/10.1016/j.procs.2016.04.023
An Attentional Model for Speech Translation Without Transcription, Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.949-959, 2016. ,
DOI : 10.18653/v1/N16-1109
Listen and translate: A proof of concept for end-to-end speech-to-text translation, NIPS Workshop on end-to-end learning for speech and audio processing, 2016. ,
TOWARDS SPEECH TRANSLATION OF NON WRITTEN LANGUAGES, 2006 IEEE Spoken Language Technology Workshop, pp.222-225, 2006. ,
DOI : 10.1109/SLT.2006.326795
Cognitive science in the era of artificial intelligence: A roadmap for reverseengineering the infant language-learner, 2016. ,
The zero resource speech challenge 2015, Proc. of Interspeech, 2015. ,
DOI : 10.1016/j.procs.2016.04.031
URL : https://doi.org/10.1016/j.procs.2016.04.031
The Zero Resource Speech Challenge 2015: Proposed Approaches and Results, Procedia Computer Science: Proceedings of SLTU 2016, pp.67-72, 2016. ,
DOI : 10.1016/j.procs.2016.04.031
URL : https://doi.org/10.1016/j.procs.2016.04.031
Crosslanguage Study of Voicing in Initial Stops, The Journal of the Acoustical Society of America, vol.35, issue.11, pp.384-422, 1964. ,
DOI : 10.1121/1.2142685
Cross-language speech perception: Evidence for perceptual reorganization during the first year of life, pp.49-63, 1984. ,
Human adults and human infants show a perceptual magnet effect for the prototypes of speech categories, monkeys do not, Attention, Perception , & Psychophysics, vol.50, issue.2, pp.93-107, 1991. ,
The kaldi speech recognition toolkit, IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, 2011. ,
Thchs-30: A free chinese speech corpus, 2015. ,
Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof, LREC, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01350037
Evaluating speech features with the Minimal- Pair ABX task (I): Analysis of the classical MFC/PLP pipeline, INTERSPEECH, 2013. ,
Evaluating speech features with the Minimal- Pair ABX task (II): Resistance to noise, INTER- SPEECH, 2014. ,
Parallel inference of Dirichlet process Gaussian mixture models for unsupervised acoustic modeling: A feasibility study, INTERSPEECH, 2015. ,
Feature optimized dpgmm clustering for unsupervised subword modeling: A contribution to zerospeech 2017 ,
Parallel sampling of DP mixture models using sub-cluster splits, Advances in Neural Information Processing Systems, pp.620-628, 2013. ,
Unsupervised discovery of sub-lexical units in speech based on ZCA and k-means ,
Multilingual bottle-neck feature learning from untranscribed speech ,
Deep learning methods for unsupervised acoustic modeling: LEAP submission to ZeroSpeech challenge 2017 ,
Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions ,
A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling, INTER- SPEECH, pp.3179-3183, 2015. ,
A comparison of neural network methods for unsupervised representation learning on the zero resource speech challenge, Sixteenth Annual Conference of the International Speech Communication Association, 2015. ,
Extracting bottleneck features and word-like pairs from untranscribed speech for feature representations ,
Efficient spoken term discovery using randomized algorithms, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, pp.401-406, 2011. ,
DOI : 10.1109/ASRU.2011.6163965
URL : http://www.cs.jhu.edu/%7Evandurme/papers/JansenVanDurmeASRU11.pdf
Composite embedding systems for ZeroSpeech2017 track 1 ,
A Bayesian framework for word segmentation: Exploring the effects of context, Cognition, vol.112, issue.1, pp.21-54, 2009. ,
DOI : 10.1016/j.cognition.2009.03.008
An embedded segmental k-means model for unsupervised segmentation and clustering of speech ,