Projects per year
Abstract
Speaker adaptive training (SAT) of neural network acoustic models learns models in a way that makes them more suitable for adaptation to test conditions. Conventionally, model-based speaker adaptive training is performed by having a set of speaker dependent parameters that are jointly optimised with speaker independent parameters in order to remove speaker variation. However, this does not scale well if all neural network weights are to be adapted to the speaker. In this paper we formulate speaker adaptive training as a meta-learning task, in which an adaptation process using gradient descent is encoded directly into the training of the model. We compare our approach with test-only adaptation of a standard baseline model and a SAT-LHUC model with a learned speaker adaptation schedule and demonstrate that the meta-learning approach achieves comparable results.
Original language | English |
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Title of host publication | 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 881-888 |
Number of pages | 8 |
ISBN (Electronic) | 978-1-7281-0306-8 |
ISBN (Print) | 978-1-7281-0307-5 |
DOIs | |
Publication status | Published - 20 Feb 2020 |
Event | IEEE Automatic Speech Recognition and Understanding Workshop 2019 - Sentosa, Singapore Duration: 14 Dec 2019 → 18 Dec 2019 http://asru2019.org/wp/ |
Conference
Conference | IEEE Automatic Speech Recognition and Understanding Workshop 2019 |
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Abbreviated title | ASRU 2019 |
Country/Territory | Singapore |
City | Sentosa |
Period | 14/12/19 → 18/12/19 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- speaker adaptation
- speaker adaptive training
- model-agnostic meta-learning
Fingerprint
Dive into the research topics of 'Speaker adaptive training using model agnostic meta-learning'. Together they form a unique fingerprint.Projects
- 3 Finished
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ELG- European Language Grid
Germann, U. (Principal Investigator) & Renals, S. (Co-investigator)
1/01/19 → 30/06/22
Project: Research
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SUMMA - Scalable Understanding of Mulitingual Media
Renals, S. (Principal Investigator), Birch-Mayne, A. (Co-investigator) & Cohen, S. (Co-investigator)
1/02/16 → 31/01/19
Project: Research
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Multi-domain speech recognition
Renals, S. (Principal Investigator)
Non-EU industry, commerce and public corporations
1/09/15 → 28/02/19
Project: Research