Aug 2, 2023 · We recently proposed a neural ASR-free keyword search model which achieves competitive performance while maintaining an efficient and simplified pipeline.
Aug 15, 2023 · We recently proposed a neural ASR-free keyword search model which achieves competitive performance while maintaining an efficient and simplified ...
[PDF] End-to-End Open Vocabulary Keyword Search With Multilingual ...
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The experiments show that the proposed multilingual training significantly improves the model performance and that despite not matching a strong ASR-based ...
In this paper, we propose an end-to-end keyword search model that takes a query as input and returns frame-level prob- abilities of the query occurring in the ...
Oct 22, 2024 · We recently proposed a neural ASR-free keyword search model which achieves competitive performance while maintaining an efficient and simplified ...
Conventional keyword search systems operate on automatic speech recognition (ASR) outputs, which causes them to have a complex indexing and search pipeline.
End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations · Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic ...
Aug 23, 2021 · We propose a model directly optimized for keyword search. The model takes a query and an utterance as input and returns a sequence of probabilities for each ...
Missing: Multilingual Representations.
Apr 17, 2024 · End-to-End Open Vocabulary Keyword Search With Multilingual Neural Representations ; Session: SLP-P10: Summarization, retrieval and language ...
End-to-end (E2E) approaches to keyword search (KWS) are considerably simpler in terms of training and indexing complexity when compared to approaches which use ...