A hierarchical system for word discovery exploiting DTW-based initialization

Walter O, Korthals T, Haeb-Umbach R, Raj B (2013)
In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE: 386-391.

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Konferenzbeitrag | Englisch
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Abstract / Bemerkung
Discovering the linguistic structure of a language solely from spoken input asks for two steps: phonetic and lexical discovery. The first is concerned with identifying the categorical subword unit inventory and relating it to the underlying acoustics, while the second aims at discovering words as repeated patterns of subword units. The hierarchical approach presented here accounts for classification errors in the first stage by modelling the pronunciation of a word in terms of subword units probabilistically: a hidden Markov model with discrete emission probabilities, emitting the observed subword unit sequences. We describe how the system can be learned in a completely unsupervised fashion from spoken input. To improve the initialization of the training of the word pronunciations, the output of a dynamic time warping based acoustic pattern discovery system is used, as it is able to discover similar temporal sequences in the input data. This improved initialization, using only weak supervision, has led to a 40% reduction in word error rate on a digit recognition task.
Erscheinungsjahr
Titel des Konferenzbandes
IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013
Seite
386-391
Konferenz
ASRU 2013
Konferenzort
Olomouc, Tschechien
Konferenzdatum
2013-12-08 – 2013-12-12
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Walter O, Korthals T, Haeb-Umbach R, Raj B. A hierarchical system for word discovery exploiting DTW-based initialization. In: IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE; 2013: 386-391.
Walter, O., Korthals, T., Haeb-Umbach, R., & Raj, B. (2013). A hierarchical system for word discovery exploiting DTW-based initialization. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013, 386-391. IEEE. doi:10.1109/ASRU.2013.6707761
Walter, O., Korthals, T., Haeb-Umbach, R., and Raj, B. (2013). “A hierarchical system for word discovery exploiting DTW-based initialization” in IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013 (IEEE), 386-391.
Walter, O., et al., 2013. A hierarchical system for word discovery exploiting DTW-based initialization. In IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE, pp. 386-391.
O. Walter, et al., “A hierarchical system for word discovery exploiting DTW-based initialization”, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013, IEEE, 2013, pp.386-391.
Walter, O., Korthals, T., Haeb-Umbach, R., Raj, B.: A hierarchical system for word discovery exploiting DTW-based initialization. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. p. 386-391. IEEE (2013).
Walter, Oliver, Korthals, Timo, Haeb-Umbach, Reinhold, and Raj, Bhiksha. “A hierarchical system for word discovery exploiting DTW-based initialization”. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013. IEEE, 2013. 386-391.

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