Results 191 to 200 of about 1,466 (245)

A comparison of query-by-example methods for spoken term detection

Interspeech 2009, 2009
Abstract : In this paper we examine an alternative interface for phonetic search, namely query-by-example, that avoids OOV issues associated with both standard word-based and phonetic search methods. We develop three methods that compare query lattices derived from example audio against a standard ngrambased phonetic index and we analyze factors ...
Wade Shen, Christopher White, Timothy J. Hazen   +2 more
openalex   +2 more sources

Query-by-Example Spoken Term Detection System Based on Phoneme Posterior Features

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017
Spoken term detection (STD) provides an efficient means for keyword indexing of speech. However, achieving high detection performance, fast speed, detecting out-of-vocabulary (OOV) words and performing STD on low resource languages are some of the major research challenges.
Xin Liu
openalex   +2 more sources

Multilingual query by example spoken term detection for under-resourced languages

2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD), 2013
We 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, Horia Cucu, Mihai Safta, Corneliu Burileanu   +3 more
openalex   +2 more sources

Unsupervised query by example spoken term detection using features concatenated with Self-Organizing Map distances

2013 IEEE International Conference on Multimedia and Expo (ICME), 2018
In 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 ...
Haiwei Wu, Ming Li, Zexin Cai, Haibin Zhong   +3 more
openalex   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Phonetic unit selection for cross-lingual query-by-example spoken term detection

2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2015
Cross-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, Laura Docio-Fernandez, Carmen Garcia-Mateo   +2 more
openaire   +2 more sources

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), 2017
This 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, Younggwan Kim, Yoonhoe Kim, Hoirin Kim   +3 more
openaire   +2 more sources

A fast query-by-example spoken term detection for zero resource languages

2016 International Conference on Signal Processing and Communications (SPCOM), 2016
This 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, M.S. Saranya, Hema A. Murthy   +2 more
openaire   +2 more sources

A Stage Match for Query-by-Example Spoken Term Detection Based On Structure Information of Query

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
The state-of-the-art of query-by-example spoken term detection (QbE-STD) strategies are usually based on segmental dynamic time warping (S-DTW). However, the sliding window in S-DTW may separate signal of a word into different segments and produce many ...
Junyao Zhan, Qianhua He, Jianbin Su, Yanxiong Li   +3 more
semanticscholar   +1 more source

Query-by-Example Spoken Term Detection using Attentive Pooling Networks at ALBAYZIN 2020 Evaluation: The AUDIAS-UAM System

IberSPEECH Conference, 2021
Query-by-example Spoken Term Detection (QbE-STD) is a key technology to harness the large amount of audiovisual content that is being stored and generated nowadays.
Juan Ignacio Álvarez-Trejos, Doroteo T. Toledano   +1 more
openalex   +2 more sources

An efficient TF-IDF based Query by Example Spoken Term Detection

2024 IEEE Conference on Artificial Intelligence (CAI)
In the present research, we tackle the problem of query by example spoken term detection (QbE-STD) in the zero-resource scenario. State-of-the-art methods typically use dynamic temporal warping (DTW) to match templates.
Akanksha Singh, Vipul Arora, Yi-Ping Phoebe Chen   +2 more
openaire   +2 more sources