On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134177" target="_blank" >RIV/00216305:26230/19:PU134177 - isvavai.cz</a>
Result on the web
<a href="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3036.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2019/pdfs/3036.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21437/Interspeech.2019-3036" target="_blank" >10.21437/Interspeech.2019-3036</a>
Alternative languages
Result language
angličtina
Original language name
On the Usage of Phonetic Information for Text-independent Speaker Embedding Extraction
Original language description
Embeddings extracted by deep neural networks have become the state-of-the-art utterance representation in speaker recognition systems. It has recently been shown that incorporating frame-level phonetic information in the embedding extractor can improve the speaker recognition performance. On the other hand, in the final embedding, phonetic information is just an additional source of session variability which may be harmful to the text-independent speaker recognition task. This suggests that at the embedding level phonetic information should be suppressed rather than encouraged. To verify this hypothesis, we perform several experiments that encourage or/and suppress phonetic information at various stages in the network. Our experiments confirm that multitask learning is beneficial if it is applied at the frame-level stage of the network, whereas adversarial training is beneficial if it is used at the segment-level stage of the network. Additionally, the combination of these two approaches improves the performance further, resulting in an equal error rate of 3.17% on the VoxCeleb dataset.
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
ISBN
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ISSN
1990-9772
e-ISSN
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Number of pages
5
Pages from-to
1148-1152
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
000831796401061