Bovbjerg et al., 2024 - Google Patents
Self-Supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse ConditionsBovbjerg et al., 2024
View PDF- Document ID
- 1842290354429035809
- Author
- Bovbjerg H
- Jensen J
- Østergaard J
- Tan Z
- Publication year
- Publication venue
- ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Snippet
In this paper, we propose the use of self-supervised pretraining on a large unlabelled data set to improve the performance of a personalized voice activity detection (VAD) model in adverse conditions. We pretrain a long short-term memory (LSTM)-encoder using the …
- 230000002411 adverse 0 title abstract description 15
Classifications
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- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
- G10L15/1822—Parsing for meaning understanding
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