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A Phonetic-Based Approach to Query-by-Example Spoken Term Detection [PDF]

, 2013
Work partially supported by the Spanish Ministerio de Economía y Competitividad under contract TIN2011-28169-C05-01 and FPU Grant AP2010-4193, and by the Vic. d’Investigació of the UPV (PAID-06-10)
Lluís-F. Hurtado, Marcos Calvo, Jon Ander Gómez, Fernando García, Emilio Sanchís   +4 more
core   +4 more sources

Sparse Subspace Modeling for Query by Example Spoken Term Detection [PDF]

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
This paper focuses on the problem of query by example spoken term detection (QbE-STD) in zero-resource scenario. Current state-of-the-art approaches to tackle this problem rely on dynamic programming based template matching techniques using phone posterior features extracted at the output of a deep neural network. Previously, it has been shown that the
Dhananjay Ram, Afsaneh Asaei, Hervé Bourlard   +2 more
core   +6 more sources

Query-by-Example Spoken Term Detection ALBAYZIN 2012 evaluation: overview, systems, results, and discussion [PDF]

EURASIP Journal on Audio, Speech, and Music Processing, 2013
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 input. Nowadays, it has been receiving much interest due to the high volume of information stored in audio or audiovisual format.
Javier Tejedor, Doroteo T. Toledano, Xavier Anguera, Amparo Varona, Lluís F. Hurtado, Antonio Miguel, José Colás   +6 more
core   +15 more sources

Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection [PDF]

Interspeech 2016, 2016
We cast the query by example spoken term detection (QbE-STD) problem as subspace detection where query and background subspaces are modeled as union of low-dimensional subspaces. The speech exemplars used for subspace modeling are class-conditional posterior probabilities estimated using deep neural network (DNN).
Dhananjay Ram, Afsaneh Asaei, Hervé Bourlard   +2 more
core   +9 more sources

Phonetic subspace features for improved query by example spoken term detection [PDF]

Speech Communication, 2018
Abstract This paper addresses the problem of detecting speech utterances from a large audio archive using a simple spoken query, hence referring to this problem as “Query by Example Spoken Term Detection” (QbE-STD). This still open pattern matching problem has been addressed in different contexts, often based on variants of the Dynamic Time Warping ...
Dhananjay Ram, Afsaneh Asaei, Hervé Bourlard   +2 more
openalex   +4 more sources

High-performance Query-by-Example Spoken Term Detection on the SWS 2013 evaluation [PDF]

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
In the last years, the task of Query-by-Example Spoken Term Detection (QbE-STD), which aims to find occurrences of a spoken query in a set of audio documents, has gained the interest of the research community for its versatility in settings where untranscribed, multilingual and acoustically unconstrained spoken resources, or spoken resources in low ...
Luis Javier Rodríguez-Fuentes, Amparo Varona, Mikel Peñagarikano, Germán Bordel, Mireia Díez   +4 more
openalex   +3 more sources

Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN

IEEE Access
Query-by-example spoken term detection (QbE-STD) refers to the search for an audio query in a repository of audio utterances. A common approach for QbE-STD involves computing a matching matrix between the feature representations of the query and the ...
Manisha Naik Gaonkar, Veena Thenkanidiyoor, Dileep Aroor Dinesh, H. Muralikrishna   +3 more
doaj   +2 more sources

Cross-Lingual Query-by-Example Spoken Term Detection: A Transformer-Based Approach [PDF]

Query-by-example spoken term detection (QbE-STD) is typically constrained by transcribed data scarcity and language specificity. This paper introduces a novel, language-agnostic QbE-STD model leveraging image processing techniques and transformer architecture.
Allahdadi Fatemeh, Mahdian Toroghi Rahil, Hassan Zareian   +2 more
openalex   +3 more sources

Language Independent Query by Example Spoken Term Detection

, 2019
Language independent query-by-example spoken term detection (QbE-STD) is the problem of retrieving audio documents from an archive, which contain a spoken query provided by a user. This is usually casted as a hypothesis testing and pattern matching problem, also referred to as a ``zero-resource task'' since no specific training or lexical information ...
Dhananjay Ram
openalex   +3 more sources

CNN Based Query by Example Spoken Term Detection [PDF]

Interspeech 2018, 2018
Dhananjay Ram, Lesly Miculicich, Hervé Bourlard   +2 more
openalex   +2 more sources