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Query-by-example spoken term detection (STD) systems can make good use of automatic speech recognition (ASR), especially when the error rate is low. However, ASR suffers from the out-of-vocabulary (OOV) problem.
Takumi Kurokawa, Atsuhiko Kai
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Unsupervised Bottleneck Features for Low-Resource Query-by-Example Spoken Term Detection
Interspeech 2016, 2016Hongjie Chen +4 more
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Siamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection
Interspeech 2018, 2018With the explosive development of human-computer speech interaction, spoken term detection is widely required and has attracted increasing interest.
Ziwei Zhu +4 more
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Query-by-example spoken term detection using bessel features
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015In this paper, a new set of features for addressing the problem of unsupervised query-by-example spoken term detection is proposed. The main purpose of this is to find a spoken query in large speech databases. In unsupervised audio search, language specific resources are not required.
Drisya Vasudev +3 more
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This paper documents the significant components of a state-ofthe-art language-independent query-by-example spoken term detection system designed for the Query by Example Search on Speech Task (QUESST) in MediaEval 2015.
Cheung-Chi Leung +11 more
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International Symposium on Chinese Spoken Language Processing, 2021
Query by example spoken term detection (QbE-STD) is a popular keyword detection method in the absence of speech resources. It can build a keyword query system with decent performance when there are few labeled speeches and a lack of pronunciation ...
Zhaoqi Li, Long Wu, Ta Li, Yonghong Yan
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Query by example spoken term detection (QbE-STD) is a popular keyword detection method in the absence of speech resources. It can build a keyword query system with decent performance when there are few labeled speeches and a lack of pronunciation ...
Zhaoqi Li, Long Wu, Ta Li, Yonghong Yan
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Gautam Mantena +2 more
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Memory efficient subsequence DTW for Query-by-Example Spoken Term Detection
Xavier Anguera, Miquel Ferrarons
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Distinctive feature based representation of speech for query-by-example spoken term detection
Abhijeet Saxena, B. Yegnanarayana
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Effective utilization of multiple examples in query-by-example spoken term detection
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016This paper investigates the example utilization problem in query-by-example spoken term detection when multiple examples are provided for each query term. To achieve this goal, we propose three evaluation metrics to assess the quality of all the examples, namely posteriorgram stability score, pronunciation reliability score and local similarity score ...
Ji Xu, Ge Zhang, Yonghong Yan
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