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</script>Our submission applying the phoneme based embedded segmental k-means model to the ZeroSpeech2017 challenge track 2. This is a preliminary version. More details can be found here: https://www.kamperh.com/papers/bhati+kamper+murty_icassp2018.pdf and https://github.com/Saurabhbhati/recipe_zs2017_track2
spoken term discovery, Zero resource speech processing, unsupervised learning
spoken term discovery, Zero resource speech processing, unsupervised learning
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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