Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134174" target="_blank" >RIV/00216305:26230/19:PU134174 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2224.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2019/pdfs/2224.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2019-2224" target="_blank" >10.21437/Interspeech.2019-2224</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
Original language description
This work tackles the problem of learning a set of language specific acoustic units from unlabeled speech recordings given a set of labeled recordings from other languages. Our approach may be described by the following two steps procedure: first the model learns the notion of acoustic units from the labelled data and then the model uses its knowledge to find new acoustic units on the target language. We implement this process with the Bayesian Subspace Hidden Markov Model (SHMM), a model akin to the Subspace Gaussian Mixture Model (SGMM) where each low dimensional embedding represents an acoustic unit rather than just a HMMs state. The subspace is trained on 3 languages from the GlobalPhone corpus (German, Polish and Spanish) and the AUs are discovered on the TIMIT corpus. Results, measured in equivalent Phone Error Rate, show that this approach significantly outperforms previous HMM based acoustic units discovery systems and compares favorably with the Variational Auto Encoder-HMM.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Interspeech 2019
ISBN
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ISSN
1990-9772
e-ISSN
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Number of pages
5
Pages from-to
261-265
Publisher name
International Speech Communication Association
Place of publication
Graz
Event location
INTERSPEECH 2019
Event date
Sep 15, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000831796400053