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Multilingual query by example spoken term detection for under-resourced languages
2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD), 2013We propose a query-by-example approach to multilingual Spoken Term Detection for under-resourced languages based on Automatic Speech Recognition. The approach overcomes the main difficulties met under these conditions, i.e., providing a new method for building multilingual acoustic models with few annotated data and searching in approximate Automatic ...
Andi Buzo +3 more
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Memory efficient subsequence DTW for Query-by-Example Spoken Term Detection
2013 IEEE International Conference on Multimedia and Expo (ICME), 2013In this paper we propose a fast and memory efficient Dynamic Time Warping (MES-DTW) algorithm for the task of Query-by-Example Spoken Term Detection (QbE-STD). The proposed algorithm is based on the subsequence-DTW (S-DTW) algorithm, which allows the search for small spoken queries within a much bigger search collection of spoken documents by ...
Xavier Anguera, Miquel Ferrarons
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Unsupervised query-by-example spoken term detection based on DPHMM tokenizer
2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2017This paper investigates the use of Dirichlet process hidden Markov model (DPHMM) tokenizer for the template matching based query-by-example spoken term detection (QbE-STD) task. DPHMM can be obtained following an unsupervised iterative procedure without any training transcriptions. The STD performance of the DPHMM tokenizer is evaluated on TIMIT Corpus.
Cao Jiankai, Zhang Lianhai
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Query-by-Example Spoken Term Detection for Zero-Resource Languages Using Heuristic Search
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023Query-by-Example spoken content retrieval is a demanding and challenging task when a large volume of spoken content is piled up in the repositories without annotation. In the absence of annotation, spoken content retrieval is achieved by capturing the similarities between the query and spoken terms from the acoustic feature representation itself ...
Sudhakar P +2 more
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Phonetic unit selection for cross-lingual query-by-example spoken term detection
2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015Cross-lingual query-by-example spoken term detection (QbE STD) has caught the attention of speech researchers, as it makes it possible to develop systems for low-resource languages, in which the available amount of labelled data makes the training of automatic speech recognition approaches prohibitive.
Paula Lopez-Otero +2 more
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Query-by-Example Spoken Term Detection Evaluation on Low-Resource Languages
2014As part of the MediaEval 2013 benchmark evaluation campaign, the objective of the Spoken Web Search (SWS) task was to perform Query-by-Example Spoken Term Detection (QbE-STD), using spoken queries to retrieve matching segments in a set of audio files. As in previous editions, the SWS 2013 evaluation focused on the development of technology specifically
Miro, Xavier Anguera +5 more
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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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An acoustic segment modeling approach to query-by-example spoken term detection
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012The framework of posteriorgram-based template matching has been shown to be successful for query-by-example spoken term detection (STD). This framework employs a tokenizer to convert query examples and test utterances into frame-level posteriorgrams, and applies dynamic time warping to match the query posteriorgrams with test posteriorgrams to locate ...
Haipeng Wang +4 more
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A fast query-by-example spoken term detection for zero resource languages
2016 International Conference on Signal Processing and Communications (SPCOM), 2016This paper presents a novel two-pass dynamic time warping (DTW) approach to build Query-by-Example Spoken Term Detection (QbE-STD) system for Zero Resource Languages. An unconstrained-endpoint dynamic time warping (UE-DTW) algorithm is used to locate the query term occurrences in a long conversational audio.
Pandia D.S. Karthik +2 more
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CNN-based bottleneck feature for noise robust query-by-example spoken term detection
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017This paper addresses the problem of query-by-example spoken term detection (QbE-STD) in the presence of background noises that are inevitable in real applications. To deal with this, we propose a convolutional neural network (CNN) based bottleneck feature representation for a keyword.
Hyungjun Lim +3 more
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