[PDF] Top 20 ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
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ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation
... the term detection rate; specifically, the semivowels /j/ and /w/ are repre- sented as the vowels /i/ and /u/, respectively, and the palatal n /η/ is represented as ...each term can be ...OOV ... See full document
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Use of GPU and Feature Reduction for Fast Query by Example Spoken Term Detection
... For query-by-example spoken term de- tection (QbE-STD) on low resource lan- guages, variants of dynamic time warp- ing techniques (DTW) are ...ken query and spoken ...the ... See full document
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ALBAYZIN 2018 spoken term detection evaluation: a multi-domain international evaluation in Spanish
... Actual term-weighted value; BNews: Broadcast news; CLI: Command-line interface; CMVN: Cepstral mean and variance normalization; CTS: Conversational telephone speech; DET: Detection error tradeoff; DNN: Deep ... See full document
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Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion
... a spoken information retrieval system contain OOV terms ...OOV term detection. Our eval- uation also considers the OOV term detection in a great extent, by incorporating some terms that ... See full document
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ALBAYZIN 2016 spoken term detection evaluation: an international open competitive evaluation in Spanish
... test term list that do not appear in the LVCSR system vocabulary), as shown in Table ...the ALBAYZIN STD 2016 evaluation on development ... See full document
23
Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task
... a query term is included in an IPU. The score between a query term and an IPU was calculated using the phoneme- based edit ...CORE query set, most of the runs that used subword-based ... See full document
8
Zero-resource audio-only spoken term detection based on a combination of template matching techniques
... Experiments were performed on a 4h subset of the ESTER cor- pus [9], comprising four different French broadcast news shows, sampled at 16 KHz. The shows were recorded on the same days, at different channels, to build a ... See full document
5
Comparison of ALBAYZIN query-by-example spoken term detection 2012 and 2014 evaluations
... the ALBAYZIN QbE STD 2014 evaluation has been conducted, and results are presented in Table ...correct term transcription is employed in the ...full evaluation results, the fused systems also ... See full document
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Query-by-Example Spoken Term Detection ALBAYZIN 2012 evaluation: overview, systems, results, and discussion
... Query-by-Example Spoken Term Detection (QbE STD) aims at retrieving data from a speech data repository given an acoustic query containing the term of interest as ... See full document
17
Search on speech from spoken queries: the Multi-domain International ALBAYZIN 2018 Query-by-Example Spoken Term Detection Evaluation
... Actual term-weighted value; BUT: Brno University of Technology; DET: Detection error tradeoff; DNN: Deep neural network; DTW: Dynamic time warping; FA: False alarm; GMM: Gaussian mixture model; HMM: Hidden ... See full document
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Application of an Automatic Plagiarism Detection System in a Large scale Assessment of English Speaking Proficiency
... The task of applying an automatic system in a large-scale operational assessment is quite chal- lenging since typically only a small number of pla- giarized responses are distributed among a much larger amount of ... See full document
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E TIPSY: Search Query Corpus Annotated with Entities, Term Importance, POS Tags, and Syntactic Parses
... term importance. In addition, our corpus contains annotation of named entities, part-of-speech (POS) tags, and syntactic analyses, generated using state-of-the-art NLP models. Along with the above, we include ... See full document
5
Selecting Query Term Alternations for Web Search by Exploiting Query Contexts
... the query “controlling acid rain” can be expanded to “(control OR controlling OR controller OR con- trolled OR controls) (acid OR acidic OR acidify) (rain OR raining OR rained OR ...expansion term an ... See full document
8
A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems
... the example the authors create sentences, scenarios and lists which describe the intent to the crowd ...Their evaluation focuses on the distribution over possible slot ... See full document
6
Audio segmentation of broadcast news in the Albayzin-2010 evaluation: overview, results, and discussion
... the evaluation of broadcast news audio segmentation systems carried out in the context of the Albayzín-2010 evaluation ...That evaluation consisted of segmenting audio from the 3/24 Catalan TV ... See full document
10
Text Retrieval by Term Co occurrences in a Query based Vector Space
... email-style query messages to webpages by a technique that does not require learning or development of a knowledge ...on term co-occurrence in a limited text chunk (a sentence or a paragraph), yet without ... See full document
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Automatic detection of plagiarized spoken responses
... plagiarized spoken responses in this data set may contain some original content (in particu- lar, introductory material provided by the test taker in an attempt to make the plagiarized content seem more relevant ... See full document
6
Example Based Treebank Querying with GrETEL–Now Also for Spoken Dutch
... an example, we look for collective noun constructions, such as een aantal mensen ‘a number of people’ and een school vissen ‘a school of ...(transcribed) spoken language. For this example, we will ... See full document
6
VOLIP: a corpus of spoken Italian and a virtuous example of reuse of linguistic resources
... The corpus VoLIP (The Voice of LIP) is an Italian speech resource which associates the audio signals to the orthographic transcriptions of the LIP Corpus. The LIP Corpus was designed to represent diaphasic, diatopic and ... See full document
5
WSP model on Users personalized web search &Data Security
... A growing number of data sources, such as search history, manually or automatically created preference profiles, and social network information, are being exploited for personalizing the selection of results for users. ... See full document
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